{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"model.ipynb","provenance":[],"toc_visible":true,"mount_file_id":"1u1X1zYuh7DXkS4wlQiF3kIgdT2WYf2c3","authorship_tag":"ABX9TyMdld5PjPnPOlV5POQkFUVK"},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"code","metadata":{"id":"UAEQ4c8xxFSr","executionInfo":{"status":"ok","timestamp":1601542475248,"user_tz":-330,"elapsed":3024,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"dcf3240c-db6e-4ed0-e99a-644afc63c25a","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["cd /content/drive/My Drive/Housing Prices Prediction"],"execution_count":1,"outputs":[{"output_type":"stream","text":["/content/drive/My Drive/Housing Prices Prediction\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"tQWZaO-Qxgin","executionInfo":{"status":"ok","timestamp":1601542483824,"user_tz":-330,"elapsed":11384,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["import numpy as np\n","import pandas as pd\n","import seaborn as sns"],"execution_count":2,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"vV4StIuL4a9m"},"source":["## Loading the Dataset"]},{"cell_type":"code","metadata":{"id":"80TAnZQ1yXYA","executionInfo":{"status":"ok","timestamp":1601543915096,"user_tz":-330,"elapsed":916,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["data=pd.read_csv('Housing.csv',delimiter=';')"],"execution_count":115,"outputs":[]},{"cell_type":"code","metadata":{"id":"RLz1oKM-yc9Y","executionInfo":{"status":"ok","timestamp":1601543916955,"user_tz":-330,"elapsed":1123,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"4402fd71-3967-4eea-f502-862805d5bdb7","colab":{"base_uri":"https://localhost:8080/","height":195}},"source":["data.head()"],"execution_count":116,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>lotsize</th>\n","      <th>bedrooms</th>\n","      <th>bathrms</th>\n","      <th>stories</th>\n","      <th>driveway</th>\n","      <th>recroom</th>\n","      <th>fullbase</th>\n","      <th>gashw</th>\n","      <th>airco</th>\n","      <th>garagepl</th>\n","      <th>prefarea</th>\n","      <th>price</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>5850</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>42000</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>4000</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>38500</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3060</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>49500</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>6650</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>60500</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>6360</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>61000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   lotsize  bedrooms  bathrms  stories  ...  airco  garagepl  prefarea  price\n","0     5850         3        1        2  ...      0         1         0  42000\n","1     4000         2        1        1  ...      0         0         0  38500\n","2     3060         3        1        1  ...      0         0         0  49500\n","3     6650         3        1        2  ...      0         0         0  60500\n","4     6360         2        1        1  ...      0         0         0  61000\n","\n","[5 rows x 12 columns]"]},"metadata":{"tags":[]},"execution_count":116}]},{"cell_type":"code","metadata":{"id":"_yiNf3VtaIa7","executionInfo":{"status":"ok","timestamp":1601544011076,"user_tz":-330,"elapsed":921,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["from sklearn.preprocessing import MinMaxScaler\n","mm=MinMaxScaler()\n","scaled=mm.fit_transform(np.array(data['lotsize']).reshape(-1,1))"],"execution_count":123,"outputs":[]},{"cell_type":"code","metadata":{"id":"MpvK4bAaaY8I","executionInfo":{"status":"ok","timestamp":1601544013837,"user_tz":-330,"elapsed":902,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"939a4ff3-a828-4354-8799-0e1af338ae03","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["mm.data_max_"],"execution_count":124,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([16200.])"]},"metadata":{"tags":[]},"execution_count":124}]},{"cell_type":"code","metadata":{"id":"5CoIPl_Vap2r","executionInfo":{"status":"ok","timestamp":1601544019528,"user_tz":-330,"elapsed":931,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"af1fb3b8-b200-4c6c-87bf-6ec6d0247795","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["mm.data_min_"],"execution_count":125,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([1650.])"]},"metadata":{"tags":[]},"execution_count":125}]},{"cell_type":"code","metadata":{"id":"7m_GjchCcy0o","executionInfo":{"status":"ok","timestamp":1601544024883,"user_tz":-330,"elapsed":953,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"0197e718-343b-4bc3-dff9-0c83d3f0d906","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["mm.feature_range"],"execution_count":126,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(0, 1)"]},"metadata":{"tags":[]},"execution_count":126}]},{"cell_type":"code","metadata":{"id":"wWX5XR16atvA","executionInfo":{"status":"ok","timestamp":1601544068060,"user_tz":-330,"elapsed":1292,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["data_s=pd.DataFrame(scaled)"],"execution_count":128,"outputs":[]},{"cell_type":"code","metadata":{"id":"HIcu_pRJeCdW","executionInfo":{"status":"ok","timestamp":1601544139727,"user_tz":-330,"elapsed":1027,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"d53faacc-00ba-4463-917e-aeb7fdefb089","colab":{"base_uri":"https://localhost:8080/","height":402}},"source":["data"],"execution_count":132,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>lotsize</th>\n","      <th>bedrooms</th>\n","      <th>bathrms</th>\n","      <th>stories</th>\n","      <th>driveway</th>\n","      <th>recroom</th>\n","      <th>fullbase</th>\n","      <th>gashw</th>\n","      <th>airco</th>\n","      <th>garagepl</th>\n","      <th>prefarea</th>\n","      <th>price</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>5850</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>42000</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>4000</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>38500</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3060</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>49500</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>6650</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>60500</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>6360</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>61000</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>541</th>\n","      <td>4800</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>91500</td>\n","    </tr>\n","    <tr>\n","      <th>542</th>\n","      <td>6000</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>94000</td>\n","    </tr>\n","    <tr>\n","      <th>543</th>\n","      <td>6000</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>103000</td>\n","    </tr>\n","    <tr>\n","      <th>544</th>\n","      <td>6000</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>105000</td>\n","    </tr>\n","    <tr>\n","      <th>545</th>\n","      <td>6000</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>105000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>546 rows × 12 columns</p>\n","</div>"],"text/plain":["     lotsize  bedrooms  bathrms  stories  ...  airco  garagepl  prefarea   price\n","0       5850         3        1        2  ...      0         1         0   42000\n","1       4000         2        1        1  ...      0         0         0   38500\n","2       3060         3        1        1  ...      0         0         0   49500\n","3       6650         3        1        2  ...      0         0         0   60500\n","4       6360         2        1        1  ...      0         0         0   61000\n","..       ...       ...      ...      ...  ...    ...       ...       ...     ...\n","541     4800         3        2        4  ...      1         0         0   91500\n","542     6000         3        2        4  ...      1         0         0   94000\n","543     6000         3        2        4  ...      1         1         0  103000\n","544     6000         3        2        2  ...      1         1         0  105000\n","545     6000         3        1        2  ...      1         1         0  105000\n","\n","[546 rows x 12 columns]"]},"metadata":{"tags":[]},"execution_count":132}]},{"cell_type":"code","metadata":{"id":"zCV_TLMzdzL4","executionInfo":{"status":"ok","timestamp":1601544238828,"user_tz":-330,"elapsed":904,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["data=pd.concat([data_s,data],axis=1,sort=False)"],"execution_count":135,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"5wDzZMco4gJ9"},"source":["## Preprocessing the data"]},{"cell_type":"code","metadata":{"id":"xkPB8jIraYDq","executionInfo":{"status":"ok","timestamp":1601544248386,"user_tz":-330,"elapsed":866,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":[""],"execution_count":135,"outputs":[]},{"cell_type":"code","metadata":{"id":"CGZgnrHPyd8J","executionInfo":{"status":"ok","timestamp":1601544344609,"user_tz":-330,"elapsed":96330,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"3fac1ed7-eea5-4471-bcf4-c9110f07d990","colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":["sns.pairplot(data)"],"execution_count":136,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<seaborn.axisgrid.PairGrid at 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\n","text/plain":["<Figure size 2340x2340 with 182 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"nkVle9Y13wT-","executionInfo":{"status":"ok","timestamp":1601544344610,"user_tz":-330,"elapsed":95249,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"5bf7d41d-1c81-4080-eb8d-5cc5a6ad1701","colab":{"base_uri":"https://localhost:8080/","height":50}},"source":["import matplotlib.pyplot as plt\n","plt.figure(figsize=(60,60))"],"execution_count":137,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<Figure size 4320x4320 with 0 Axes>"]},"metadata":{"tags":[]},"execution_count":137},{"output_type":"display_data","data":{"text/plain":["<Figure size 4320x4320 with 0 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"Q7sm9Brjy5ya","executionInfo":{"status":"ok","timestamp":1601544344610,"user_tz":-330,"elapsed":94620,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"3d9d2c41-5495-4c36-be5a-77a073ad132d","colab":{"base_uri":"https://localhost:8080/","height":326}},"source":["sns.heatmap(data.corr())"],"execution_count":138,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f7eddefbfd0>"]},"metadata":{"tags":[]},"execution_count":138},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 2 Axes>"]},"metadata":{"tags":[],"needs_background":"light"}}]},{"cell_type":"code","metadata":{"id":"cDbWwDgezD6u","executionInfo":{"status":"ok","timestamp":1601544344611,"user_tz":-330,"elapsed":94088,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"4cd6c753-0316-4a89-9939-0cae091a6037","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["data.isnull().any().sum()"],"execution_count":139,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0"]},"metadata":{"tags":[]},"execution_count":139}]},{"cell_type":"code","metadata":{"id":"qPeg8-Af4_Is","executionInfo":{"status":"ok","timestamp":1601544344611,"user_tz":-330,"elapsed":93400,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"ab422b32-25ce-4028-a6a1-7f412f572e71","colab":{"base_uri":"https://localhost:8080/","height":304}},"source":["data.describe()"],"execution_count":140,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>0</th>\n","      <th>lotsize</th>\n","      <th>bedrooms</th>\n","      <th>bathrms</th>\n","      <th>stories</th>\n","      <th>driveway</th>\n","      <th>recroom</th>\n","      <th>fullbase</th>\n","      <th>gashw</th>\n","      <th>airco</th>\n","      <th>garagepl</th>\n","      <th>prefarea</th>\n","      <th>price</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>546.000000</td>\n","      <td>546.000000</td>\n","      <td>546.000000</td>\n","      <td>546.000000</td>\n","      <td>546.000000</td>\n","      <td>546.000000</td>\n","      <td>546.000000</td>\n","      <td>546.000000</td>\n","      <td>546.000000</td>\n","      <td>546.000000</td>\n","      <td>546.000000</td>\n","      <td>546.000000</td>\n","      <td>546.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>0.240568</td>\n","      <td>5150.265568</td>\n","      <td>2.965201</td>\n","      <td>1.285714</td>\n","      <td>1.807692</td>\n","      <td>0.858974</td>\n","      <td>0.177656</td>\n","      <td>0.349817</td>\n","      <td>0.045788</td>\n","      <td>0.316850</td>\n","      <td>0.692308</td>\n","      <td>0.234432</td>\n","      <td>68121.597070</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>0.149014</td>\n","      <td>2168.158725</td>\n","      <td>0.737388</td>\n","      <td>0.502158</td>\n","      <td>0.868203</td>\n","      <td>0.348367</td>\n","      <td>0.382573</td>\n","      <td>0.477349</td>\n","      <td>0.209216</td>\n","      <td>0.465675</td>\n","      <td>0.861307</td>\n","      <td>0.424032</td>\n","      <td>26702.670926</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000</td>\n","      <td>1650.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>25000.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>0.134021</td>\n","      <td>3600.000000</td>\n","      <td>2.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>49125.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>0.202749</td>\n","      <td>4600.000000</td>\n","      <td>3.000000</td>\n","      <td>1.000000</td>\n","      <td>2.000000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>62000.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>0.323711</td>\n","      <td>6360.000000</td>\n","      <td>3.000000</td>\n","      <td>2.000000</td>\n","      <td>2.000000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>82000.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>1.000000</td>\n","      <td>16200.000000</td>\n","      <td>6.000000</td>\n","      <td>4.000000</td>\n","      <td>4.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>3.000000</td>\n","      <td>1.000000</td>\n","      <td>190000.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                0       lotsize  ...    prefarea          price\n","count  546.000000    546.000000  ...  546.000000     546.000000\n","mean     0.240568   5150.265568  ...    0.234432   68121.597070\n","std      0.149014   2168.158725  ...    0.424032   26702.670926\n","min      0.000000   1650.000000  ...    0.000000   25000.000000\n","25%      0.134021   3600.000000  ...    0.000000   49125.000000\n","50%      0.202749   4600.000000  ...    0.000000   62000.000000\n","75%      0.323711   6360.000000  ...    0.000000   82000.000000\n","max      1.000000  16200.000000  ...    1.000000  190000.000000\n","\n","[8 rows x 13 columns]"]},"metadata":{"tags":[]},"execution_count":140}]},{"cell_type":"code","metadata":{"id":"EnTJ_4tefX0v","executionInfo":{"status":"ok","timestamp":1601544515678,"user_tz":-330,"elapsed":982,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["data.drop(['lotsize'],axis=1,inplace=True)"],"execution_count":146,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"CUilL3SN5Ggb"},"source":["## Spliting the Data into Training and Testing"]},{"cell_type":"code","metadata":{"id":"0aeU5rHgzVfY","executionInfo":{"status":"ok","timestamp":1601544521114,"user_tz":-330,"elapsed":1118,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["from sklearn.model_selection import train_test_split\n","x=data.iloc[:,:-1]\n","y=data.iloc[:,-1]"],"execution_count":147,"outputs":[]},{"cell_type":"code","metadata":{"id":"15idBBdc5esC","executionInfo":{"status":"ok","timestamp":1601544521115,"user_tz":-330,"elapsed":640,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"c33c737f-8a37-48e5-8402-fac775361fa1","colab":{"base_uri":"https://localhost:8080/","height":195}},"source":["x.head()"],"execution_count":148,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>0</th>\n","      <th>bedrooms</th>\n","      <th>bathrms</th>\n","      <th>stories</th>\n","      <th>driveway</th>\n","      <th>recroom</th>\n","      <th>fullbase</th>\n","      <th>gashw</th>\n","      <th>airco</th>\n","      <th>garagepl</th>\n","      <th>prefarea</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.288660</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.161512</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.096907</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>0.343643</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0.323711</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["          0  bedrooms  bathrms  stories  ...  gashw  airco  garagepl  prefarea\n","0  0.288660         3        1        2  ...      0      0         1         0\n","1  0.161512         2        1        1  ...      0      0         0         0\n","2  0.096907         3        1        1  ...      0      0         0         0\n","3  0.343643         3        1        2  ...      0      0         0         0\n","4  0.323711         2        1        1  ...      0      0         0         0\n","\n","[5 rows x 11 columns]"]},"metadata":{"tags":[]},"execution_count":148}]},{"cell_type":"code","metadata":{"id":"fp50GDwJ5fZZ","executionInfo":{"status":"ok","timestamp":1601544522219,"user_tz":-330,"elapsed":1246,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.2,random_state=42)"],"execution_count":149,"outputs":[]},{"cell_type":"code","metadata":{"id":"p7SqWpL654qz","executionInfo":{"status":"ok","timestamp":1601544522222,"user_tz":-330,"elapsed":806,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"e1f9a5e3-c9c8-4717-f005-a08164bc6f4b","colab":{"base_uri":"https://localhost:8080/","height":195}},"source":["x_train.head()"],"execution_count":150,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>0</th>\n","      <th>bedrooms</th>\n","      <th>bathrms</th>\n","      <th>stories</th>\n","      <th>driveway</th>\n","      <th>recroom</th>\n","      <th>fullbase</th>\n","      <th>gashw</th>\n","      <th>airco</th>\n","      <th>garagepl</th>\n","      <th>prefarea</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>93</th>\n","      <td>0.470790</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>335</th>\n","      <td>0.420619</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>412</th>\n","      <td>0.323711</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>473</th>\n","      <td>0.229553</td>\n","      <td>4</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>237</th>\n","      <td>0.134021</td>\n","      <td>6</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["            0  bedrooms  bathrms  stories  ...  gashw  airco  garagepl  prefarea\n","93   0.470790         3        2        4  ...      0      1         2         0\n","335  0.420619         2        1        1  ...      0      0         1         0\n","412  0.323711         3        2        4  ...      0      1         0         1\n","473  0.229553         4        2        2  ...      0      0         0         1\n","237  0.134021         6        1        2  ...      0      0         1         0\n","\n","[5 rows x 11 columns]"]},"metadata":{"tags":[]},"execution_count":150}]},{"cell_type":"markdown","metadata":{"id":"EI76ALbI5_km"},"source":["## Model Selection"]},{"cell_type":"markdown","metadata":{"id":"P8Ri-qkr6EWA"},"source":["### Using Linear Regression"]},{"cell_type":"code","metadata":{"id":"ZUXKTs7a56wU","executionInfo":{"status":"ok","timestamp":1601544525579,"user_tz":-330,"elapsed":1337,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["from sklearn.linear_model import LinearRegression"],"execution_count":151,"outputs":[]},{"cell_type":"code","metadata":{"id":"GT7vDmBx6PEP","executionInfo":{"status":"ok","timestamp":1601544526148,"user_tz":-330,"elapsed":1356,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["\n","model=LinearRegression()"],"execution_count":152,"outputs":[]},{"cell_type":"code","metadata":{"id":"yTDj9r7e6VgF","executionInfo":{"status":"ok","timestamp":1601544526151,"user_tz":-330,"elapsed":689,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"d4d66e36-ee9b-474f-861f-dc11adfa51d5","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["\n","\n","model.fit(x_train,y_train)"],"execution_count":153,"outputs":[{"output_type":"execute_result","data":{"text/plain":["LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)"]},"metadata":{"tags":[]},"execution_count":153}]},{"cell_type":"code","metadata":{"id":"YeY4p2ga6X_T","executionInfo":{"status":"ok","timestamp":1601544526898,"user_tz":-330,"elapsed":651,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["y_pred=model.predict(x_test)"],"execution_count":154,"outputs":[]},{"cell_type":"code","metadata":{"id":"2spR8E0D6b7-","executionInfo":{"status":"ok","timestamp":1601544528548,"user_tz":-330,"elapsed":914,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"727b4132-0575-4032-8576-c3d969b415ed","colab":{"base_uri":"https://localhost:8080/","height":487}},"source":["y_pred"],"execution_count":155,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([ 67965.39055778,  66913.33565631, 109975.8073368 ,  61158.44011902,\n","        56327.64653371,  58151.61312818,  55973.55336425,  54269.43150634,\n","        98832.10215503,  48611.08929595,  78646.1834425 ,  95179.76473042,\n","        53624.82795496,  63566.1906301 ,  98074.03694856, 108523.5594545 ,\n","        77166.88378398,  40353.07238342,  89400.67770365,  54178.60229425,\n","        33271.36551707,  49729.63973815,  76571.45417133,  52756.67973564,\n","        73626.89153725,  39262.70314866,  86422.39003048,  42754.50627868,\n","       100859.04475166,  59969.65556986,  51312.01343866,  77074.93596408,\n","        74028.29195949,  92757.17729035,  61334.59457096,  53295.81704549,\n","        34443.79799155,  67190.0825052 ,  70946.78849416, 103443.75010887,\n","        43595.7350214 , 110558.61242543,  40752.2375375 ,  54707.91028046,\n","        77237.66559779,  58881.07946019,  56348.36629339,  55261.35070339,\n","        55350.48922308,  98048.1937209 ,  39351.60451815,  77407.80537511,\n","        77395.34745099,  79022.75207675,  67877.89857558,  85184.69811495,\n","       105217.63452376,  73435.3578292 ,  61261.28264669, 110967.98686514,\n","        52625.13610341,  86648.38919897,  75822.83051178,  70185.88114271,\n","        30818.72727947,  59076.12744221,  44329.7682007 ,  66567.53192816,\n","        59457.28590773,  67927.87647317, 113854.60837219,  90089.88541593,\n","        67448.13511163,  48623.20619726, 102487.88506442,  32761.16956568,\n","        82046.30047821,  50097.93779108,  41995.20781517,  84441.25853393,\n","        52898.3742449 ,  62320.89401253,  76332.3968167 ,  68658.53312756,\n","        54653.29845385,  43568.58339361,  52636.30575922,  65915.62354599,\n","        67650.65494253,  31147.58636005,  58611.85164914,  62576.71896904,\n","       101475.92620877,  43939.81007257,  49350.22541518,  87147.63061004,\n","        49354.00415412,  46248.11283746,  80885.81388111,  53050.3615368 ,\n","        64649.62511924,  38776.02907563,  44054.50846102,  46112.14230479,\n","        51438.20317452, 100021.45763574,  51654.94851486,  73331.33923839,\n","        66003.39035135,  31293.74595143])"]},"metadata":{"tags":[]},"execution_count":155}]},{"cell_type":"code","metadata":{"id":"u2GpHWxA6dOC","executionInfo":{"status":"ok","timestamp":1601544528887,"user_tz":-330,"elapsed":575,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["import sklearn.metrics as m"],"execution_count":156,"outputs":[]},{"cell_type":"code","metadata":{"id":"82EEl5Da6mNI","executionInfo":{"status":"ok","timestamp":1601544530323,"user_tz":-330,"elapsed":807,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"7ca680d1-355b-46a2-b797-ed3285ed55ab","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["np.sqrt(m.mean_squared_error(y_test,y_pred))"],"execution_count":157,"outputs":[{"output_type":"execute_result","data":{"text/plain":["16016.397426383437"]},"metadata":{"tags":[]},"execution_count":157}]},{"cell_type":"code","metadata":{"id":"CbN0Z3716sa2","executionInfo":{"status":"ok","timestamp":1601544534875,"user_tz":-330,"elapsed":848,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"ead5fffd-baf6-4cf3-ae95-c4e39914b87b","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["\n","m.mean_absolute_error(y_test,y_pred)"],"execution_count":158,"outputs":[{"output_type":"execute_result","data":{"text/plain":["11463.135922494626"]},"metadata":{"tags":[]},"execution_count":158}]},{"cell_type":"markdown","metadata":{"id":"ynkgdkQB7LYh"},"source":["### Using XGBoost"]},{"cell_type":"code","metadata":{"id":"r8nj2jGb69EQ","executionInfo":{"status":"ok","timestamp":1601544541784,"user_tz":-330,"elapsed":4047,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"f31df88e-a2ee-4a6b-bdf2-62926978d040","colab":{"base_uri":"https://localhost:8080/","height":67}},"source":["pip install xgboost"],"execution_count":159,"outputs":[{"output_type":"stream","text":["Requirement already satisfied: xgboost in /usr/local/lib/python3.6/dist-packages (0.90)\n","Requirement already satisfied: scipy in /usr/local/lib/python3.6/dist-packages (from xgboost) (1.4.1)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from xgboost) (1.18.5)\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"EjwKvdbN8Ct0","executionInfo":{"status":"ok","timestamp":1601544541785,"user_tz":-330,"elapsed":3726,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["\n","from xgboost import XGBRegressor"],"execution_count":160,"outputs":[]},{"cell_type":"code","metadata":{"id":"xVPN-_Uv8Ku-","executionInfo":{"status":"ok","timestamp":1601544541786,"user_tz":-330,"elapsed":3356,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["model=XGBRegressor()"],"execution_count":161,"outputs":[]},{"cell_type":"code","metadata":{"id":"Iulu1_Hi8OiQ","executionInfo":{"status":"ok","timestamp":1601544541787,"user_tz":-330,"elapsed":2929,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"9b0e2b5b-7e33-4a59-8e19-b37e7c1981fb","colab":{"base_uri":"https://localhost:8080/","height":151}},"source":["model.fit(x_train,y_train)"],"execution_count":162,"outputs":[{"output_type":"stream","text":["[09:29:02] WARNING: /workspace/src/objective/regression_obj.cu:152: reg:linear is now deprecated in favor of reg:squarederror.\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,\n","             colsample_bynode=1, colsample_bytree=1, gamma=0,\n","             importance_type='gain', learning_rate=0.1, max_delta_step=0,\n","             max_depth=3, min_child_weight=1, missing=None, n_estimators=100,\n","             n_jobs=1, nthread=None, objective='reg:linear', random_state=0,\n","             reg_alpha=0, reg_lambda=1, scale_pos_weight=1, seed=None,\n","             silent=None, subsample=1, verbosity=1)"]},"metadata":{"tags":[]},"execution_count":162}]},{"cell_type":"code","metadata":{"id":"xQp7Ji5t8apP","executionInfo":{"status":"ok","timestamp":1601544542359,"user_tz":-330,"elapsed":1177,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["y_pred=model.predict(x_test)"],"execution_count":163,"outputs":[]},{"cell_type":"code","metadata":{"id":"hRdm3BKi8apf","executionInfo":{"status":"ok","timestamp":1601544543621,"user_tz":-330,"elapsed":1133,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"cd56957c-eb0d-401c-f613-a63558bee2d0","colab":{"base_uri":"https://localhost:8080/","height":403}},"source":["y_pred"],"execution_count":164,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([ 68477.484,  62051.414, 112132.414,  69063.08 ,  66788.07 ,\n","        60506.14 ,  50517.22 ,  49772.523,  94245.21 ,  52647.473,\n","        73759.64 ,  84037.25 ,  49406.   ,  55358.305, 107536.78 ,\n","       112040.02 ,  75808.125,  43805.246,  78008.914,  67948.33 ,\n","        34197.305,  45167.887,  69493.516,  49528.91 ,  76612.74 ,\n","        44563.484,  79417.805,  43823.297, 117663.09 ,  59585.65 ,\n","        51340.223,  81493.055,  82050.36 ,  89981.13 ,  60050.02 ,\n","        60151.72 ,  36754.84 ,  72599.36 ,  74952.58 , 105734.02 ,\n","        38719.38 , 108922.12 ,  37396.613,  51649.816,  83268.48 ,\n","        55770.617,  54602.5  ,  51803.32 ,  59943.832,  91128.01 ,\n","        45316.67 ,  69600.836,  76327.87 ,  80009.59 ,  66015.97 ,\n","        84565.38 , 108515.51 ,  72995.46 ,  59591.02 ,  97496.75 ,\n","        48433.836,  78552.875,  63588.86 ,  50579.395,  36448.195,\n","        56433.16 ,  42947.137,  62513.26 ,  59551.066,  52452.56 ,\n","       123848.93 ,  68048.26 ,  60502.984,  49919.26 , 105734.02 ,\n","        41000.473,  94264.91 ,  50704.01 ,  41327.15 ,  69175.664,\n","        53915.28 ,  57200.047,  72233.02 ,  72989.17 ,  47450.99 ,\n","        47007.008,  54205.977,  71852.35 ,  85147.98 ,  36448.195,\n","        55574.39 ,  60952.312,  83322.695,  51333.195,  49045.266,\n","        85480.266,  49950.945,  44085.184,  62547.953,  51782.02 ,\n","        55153.39 ,  39604.535,  49550.74 ,  45545.68 ,  46332.383,\n","       101027.66 ,  50614.566,  60126.234,  52142.605,  38831.758],\n","      dtype=float32)"]},"metadata":{"tags":[]},"execution_count":164}]},{"cell_type":"code","metadata":{"id":"F8KpR1cs8app","executionInfo":{"status":"ok","timestamp":1601544545045,"user_tz":-330,"elapsed":577,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["import sklearn.metrics as m"],"execution_count":165,"outputs":[]},{"cell_type":"code","metadata":{"id":"cE1MCijB8apy","executionInfo":{"status":"ok","timestamp":1601544547022,"user_tz":-330,"elapsed":1174,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"9ba01aed-6155-4c55-f057-7ff707b4d572","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["np.sqrt(m.mean_squared_error(y_test,y_pred))"],"execution_count":166,"outputs":[{"output_type":"execute_result","data":{"text/plain":["16177.294168683291"]},"metadata":{"tags":[]},"execution_count":166}]},{"cell_type":"code","metadata":{"id":"X7OnWR6q8ap8","executionInfo":{"status":"ok","timestamp":1601544548983,"user_tz":-330,"elapsed":877,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"85b57860-3e0b-4579-a326-78c9343fb6dc","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["m.mean_absolute_error(y_test,y_pred)"],"execution_count":167,"outputs":[{"output_type":"execute_result","data":{"text/plain":["11943.294389204546"]},"metadata":{"tags":[]},"execution_count":167}]},{"cell_type":"code","metadata":{"id":"Wj5KAMQIcCXc","executionInfo":{"status":"ok","timestamp":1601544550864,"user_tz":-330,"elapsed":1023,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"29e8214b-7f64-4442-9067-429696fbea8e","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["0.07216592952568013*(1.90e+05-2.50e+04)+2.50e+04"],"execution_count":168,"outputs":[{"output_type":"execute_result","data":{"text/plain":["36907.37837173722"]},"metadata":{"tags":[]},"execution_count":168}]},{"cell_type":"markdown","metadata":{"id":"DwZAkiV68aqF"},"source":["### Using ANN"]},{"cell_type":"code","metadata":{"id":"ynMJPPYJ8SDZ","executionInfo":{"status":"ok","timestamp":1601544553702,"user_tz":-330,"elapsed":902,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["from keras.models import Sequential\n","from keras.layers import Dense"],"execution_count":169,"outputs":[]},{"cell_type":"code","metadata":{"id":"RIE0qJgl8rW2","executionInfo":{"status":"ok","timestamp":1601545346932,"user_tz":-330,"elapsed":1807,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["model=Sequential()\n","model.add(Dense(64,input_shape=(11,),activation='relu'))\n","model.add(Dense(16,activation='relu'))\n","\n","\n","model.add(Dense(1,activation='linear'))"],"execution_count":221,"outputs":[]},{"cell_type":"code","metadata":{"id":"b3mf-oLo9I22","executionInfo":{"status":"ok","timestamp":1601545346934,"user_tz":-330,"elapsed":1803,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["model.compile(loss='mean_squared_error',optimizer='Adam',metrics=['mse'])"],"execution_count":222,"outputs":[]},{"cell_type":"code","metadata":{"id":"VgmUzS2n9GW8","executionInfo":{"status":"ok","timestamp":1601545346934,"user_tz":-330,"elapsed":1796,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"6b0aadc4-e934-48e8-bd42-463cb53afc57","colab":{"base_uri":"https://localhost:8080/","height":252}},"source":["model.summary()"],"execution_count":223,"outputs":[{"output_type":"stream","text":["Model: \"sequential_9\"\n","_________________________________________________________________\n","Layer (type)                 Output Shape              Param #   \n","=================================================================\n","dense_21 (Dense)             (None, 64)                768       \n","_________________________________________________________________\n","dense_22 (Dense)             (None, 16)                1040      \n","_________________________________________________________________\n","dense_23 (Dense)             (None, 1)                 17        \n","=================================================================\n","Total params: 1,825\n","Trainable params: 1,825\n","Non-trainable params: 0\n","_________________________________________________________________\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"tgT7sjpV88cs","executionInfo":{"status":"ok","timestamp":1601545361622,"user_tz":-330,"elapsed":16474,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"9f442e74-6111-4b95-a539-5c3a2475356e","colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":["model.fit(x_train,y_train,epochs=500)"],"execution_count":224,"outputs":[{"output_type":"stream","text":["Epoch 1/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5471653376.0000 - mse: 5471653376.0000\n","Epoch 2/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5471485440.0000 - mse: 5471485440.0000\n","Epoch 3/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5471264768.0000 - mse: 5471264768.0000\n","Epoch 4/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5470932480.0000 - mse: 5470932480.0000\n","Epoch 5/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5470439424.0000 - mse: 5470439424.0000\n","Epoch 6/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5469689344.0000 - mse: 5469689344.0000\n","Epoch 7/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5468624384.0000 - mse: 5468624384.0000\n","Epoch 8/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5467181568.0000 - mse: 5467181568.0000\n","Epoch 9/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5465195008.0000 - mse: 5465195008.0000\n","Epoch 10/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5462767104.0000 - mse: 5462767104.0000\n","Epoch 11/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5459586048.0000 - mse: 5459586048.0000\n","Epoch 12/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5455772672.0000 - mse: 5455772672.0000\n","Epoch 13/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5451094016.0000 - mse: 5451094016.0000\n","Epoch 14/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5445472768.0000 - mse: 5445472768.0000\n","Epoch 15/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5438863872.0000 - mse: 5438863872.0000\n","Epoch 16/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5431323136.0000 - mse: 5431323136.0000\n","Epoch 17/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5422465024.0000 - mse: 5422465024.0000\n","Epoch 18/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5412505600.0000 - mse: 5412505600.0000\n","Epoch 19/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5401221632.0000 - mse: 5401221632.0000\n","Epoch 20/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5388634624.0000 - mse: 5388634624.0000\n","Epoch 21/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5374800384.0000 - mse: 5374800384.0000\n","Epoch 22/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5359205376.0000 - mse: 5359205376.0000\n","Epoch 23/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5342137344.0000 - mse: 5342137344.0000\n","Epoch 24/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5323406848.0000 - mse: 5323406848.0000\n","Epoch 25/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5303162880.0000 - mse: 5303162880.0000\n","Epoch 26/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5280868864.0000 - mse: 5280868864.0000\n","Epoch 27/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5257216000.0000 - mse: 5257216000.0000\n","Epoch 28/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5231227392.0000 - mse: 5231227392.0000\n","Epoch 29/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5203605504.0000 - mse: 5203605504.0000\n","Epoch 30/500\n","14/14 [==============================] - 0s 2ms/step - loss: 5173935104.0000 - mse: 5173935104.0000\n","Epoch 31/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5142478848.0000 - mse: 5142478848.0000\n","Epoch 32/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5109607936.0000 - mse: 5109607936.0000\n","Epoch 33/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5073610752.0000 - mse: 5073610752.0000\n","Epoch 34/500\n","14/14 [==============================] - 0s 1ms/step - loss: 5036390912.0000 - mse: 5036390912.0000\n","Epoch 35/500\n","14/14 [==============================] - 0s 1ms/step - loss: 4997182976.0000 - mse: 4997182976.0000\n","Epoch 36/500\n","14/14 [==============================] - 0s 1ms/step - loss: 4955703808.0000 - mse: 4955703808.0000\n","Epoch 37/500\n","14/14 [==============================] - 0s 1ms/step - loss: 4912504832.0000 - mse: 4912504832.0000\n","Epoch 38/500\n","14/14 [==============================] - 0s 2ms/step - loss: 4866669568.0000 - mse: 4866669568.0000\n","Epoch 39/500\n","14/14 [==============================] - 0s 2ms/step - loss: 4819425280.0000 - mse: 4819425280.0000\n","Epoch 40/500\n","14/14 [==============================] - 0s 2ms/step - loss: 4769850880.0000 - mse: 4769850880.0000\n","Epoch 41/500\n","14/14 [==============================] - 0s 2ms/step - loss: 4718038016.0000 - mse: 4718038016.0000\n","Epoch 42/500\n","14/14 [==============================] - 0s 1ms/step - loss: 4664653312.0000 - mse: 4664653312.0000\n","Epoch 43/500\n","14/14 [==============================] - 0s 1ms/step - loss: 4609326592.0000 - mse: 4609326592.0000\n","Epoch 44/500\n","14/14 [==============================] - 0s 2ms/step - loss: 4552295424.0000 - mse: 4552295424.0000\n","Epoch 45/500\n","14/14 [==============================] - 0s 1ms/step - loss: 4492740096.0000 - mse: 4492740096.0000\n","Epoch 46/500\n","14/14 [==============================] - 0s 1ms/step - loss: 4431705088.0000 - mse: 4431705088.0000\n","Epoch 47/500\n","14/14 [==============================] - 0s 1ms/step - loss: 4368866304.0000 - mse: 4368866304.0000\n","Epoch 48/500\n","14/14 [==============================] - 0s 1ms/step - loss: 4304455680.0000 - mse: 4304455680.0000\n","Epoch 49/500\n","14/14 [==============================] - 0s 2ms/step - loss: 4236969728.0000 - mse: 4236969728.0000\n","Epoch 50/500\n","14/14 [==============================] - 0s 1ms/step - loss: 4169798912.0000 - mse: 4169798912.0000\n","Epoch 51/500\n","14/14 [==============================] - 0s 2ms/step - loss: 4099549440.0000 - mse: 4099549440.0000\n","Epoch 52/500\n","14/14 [==============================] - 0s 2ms/step - loss: 4028563456.0000 - mse: 4028563456.0000\n","Epoch 53/500\n","14/14 [==============================] - 0s 2ms/step - loss: 3955210240.0000 - mse: 3955210240.0000\n","Epoch 54/500\n","14/14 [==============================] - 0s 2ms/step - loss: 3880505088.0000 - mse: 3880505088.0000\n","Epoch 55/500\n","14/14 [==============================] - 0s 2ms/step - loss: 3806373376.0000 - mse: 3806373376.0000\n","Epoch 56/500\n","14/14 [==============================] - 0s 2ms/step - loss: 3729073664.0000 - mse: 3729073664.0000\n","Epoch 57/500\n","14/14 [==============================] - 0s 1ms/step - loss: 3651659008.0000 - mse: 3651659008.0000\n","Epoch 58/500\n","14/14 [==============================] - 0s 1ms/step - loss: 3572626688.0000 - mse: 3572626688.0000\n","Epoch 59/500\n","14/14 [==============================] - 0s 1ms/step - loss: 3492492288.0000 - mse: 3492492288.0000\n","Epoch 60/500\n","14/14 [==============================] - 0s 2ms/step - loss: 3412471808.0000 - mse: 3412471808.0000\n","Epoch 61/500\n","14/14 [==============================] - 0s 2ms/step - loss: 3331136256.0000 - mse: 3331136256.0000\n","Epoch 62/500\n","14/14 [==============================] - 0s 2ms/step - loss: 3250313472.0000 - mse: 3250313472.0000\n","Epoch 63/500\n","14/14 [==============================] - 0s 2ms/step - loss: 3166983936.0000 - mse: 3166983936.0000\n","Epoch 64/500\n","14/14 [==============================] - 0s 2ms/step - loss: 3084143104.0000 - mse: 3084143104.0000\n","Epoch 65/500\n","14/14 [==============================] - 0s 2ms/step - loss: 3001820160.0000 - mse: 3001820160.0000\n","Epoch 66/500\n","14/14 [==============================] - 0s 2ms/step - loss: 2917331200.0000 - mse: 2917331200.0000\n","Epoch 67/500\n","14/14 [==============================] - 0s 1ms/step - loss: 2834471424.0000 - mse: 2834471424.0000\n","Epoch 68/500\n","14/14 [==============================] - 0s 2ms/step - loss: 2751165696.0000 - mse: 2751165696.0000\n","Epoch 69/500\n","14/14 [==============================] - 0s 1ms/step - loss: 2667675392.0000 - mse: 2667675392.0000\n","Epoch 70/500\n","14/14 [==============================] - 0s 2ms/step - loss: 2585076736.0000 - mse: 2585076736.0000\n","Epoch 71/500\n","14/14 [==============================] - 0s 1ms/step - loss: 2502150656.0000 - mse: 2502150656.0000\n","Epoch 72/500\n","14/14 [==============================] - 0s 1ms/step - loss: 2419616512.0000 - mse: 2419616512.0000\n","Epoch 73/500\n","14/14 [==============================] - 0s 2ms/step - loss: 2339647232.0000 - mse: 2339647232.0000\n","Epoch 74/500\n","14/14 [==============================] - 0s 2ms/step - loss: 2257886464.0000 - mse: 2257886464.0000\n","Epoch 75/500\n","14/14 [==============================] - 0s 2ms/step - loss: 2178654208.0000 - mse: 2178654208.0000\n","Epoch 76/500\n","14/14 [==============================] - 0s 2ms/step - loss: 2098787840.0000 - mse: 2098787840.0000\n","Epoch 77/500\n","14/14 [==============================] - 0s 2ms/step - loss: 2022185472.0000 - mse: 2022185472.0000\n","Epoch 78/500\n","14/14 [==============================] - 0s 1ms/step - loss: 1945324160.0000 - mse: 1945324160.0000\n","Epoch 79/500\n","14/14 [==============================] - 0s 2ms/step - loss: 1869696128.0000 - mse: 1869696128.0000\n","Epoch 80/500\n","14/14 [==============================] - 0s 2ms/step - loss: 1796417280.0000 - mse: 1796417280.0000\n","Epoch 81/500\n","14/14 [==============================] - 0s 2ms/step - loss: 1721888256.0000 - mse: 1721888256.0000\n","Epoch 82/500\n","14/14 [==============================] - 0s 2ms/step - loss: 1653207040.0000 - mse: 1653207040.0000\n","Epoch 83/500\n","14/14 [==============================] - 0s 2ms/step - loss: 1583235328.0000 - mse: 1583235328.0000\n","Epoch 84/500\n","14/14 [==============================] - 0s 2ms/step - loss: 1515608064.0000 - mse: 1515608064.0000\n","Epoch 85/500\n","14/14 [==============================] - 0s 2ms/step - loss: 1450218880.0000 - mse: 1450218880.0000\n","Epoch 86/500\n","14/14 [==============================] - 0s 2ms/step - loss: 1386205440.0000 - mse: 1386205440.0000\n","Epoch 87/500\n","14/14 [==============================] - 0s 2ms/step - loss: 1324553984.0000 - mse: 1324553984.0000\n","Epoch 88/500\n","14/14 [==============================] - 0s 2ms/step - loss: 1265474816.0000 - mse: 1265474816.0000\n","Epoch 89/500\n","14/14 [==============================] - 0s 2ms/step - loss: 1206818176.0000 - mse: 1206818176.0000\n","Epoch 90/500\n","14/14 [==============================] - 0s 2ms/step - loss: 1151848576.0000 - mse: 1151848576.0000\n","Epoch 91/500\n","14/14 [==============================] - 0s 2ms/step - loss: 1097971200.0000 - mse: 1097971200.0000\n","Epoch 92/500\n","14/14 [==============================] - 0s 2ms/step - loss: 1046608448.0000 - mse: 1046608448.0000\n","Epoch 93/500\n","14/14 [==============================] - 0s 1ms/step - loss: 997213376.0000 - mse: 997213376.0000\n","Epoch 94/500\n","14/14 [==============================] - 0s 2ms/step - loss: 948512512.0000 - mse: 948512512.0000\n","Epoch 95/500\n","14/14 [==============================] - 0s 2ms/step - loss: 903583488.0000 - mse: 903583488.0000\n","Epoch 96/500\n","14/14 [==============================] - 0s 2ms/step - loss: 861100224.0000 - mse: 861100224.0000\n","Epoch 97/500\n","14/14 [==============================] - 0s 2ms/step - loss: 820032064.0000 - mse: 820032064.0000\n","Epoch 98/500\n","14/14 [==============================] - 0s 1ms/step - loss: 781049472.0000 - mse: 781049472.0000\n","Epoch 99/500\n","14/14 [==============================] - 0s 1ms/step - loss: 744065216.0000 - mse: 744065216.0000\n","Epoch 100/500\n","14/14 [==============================] - 0s 2ms/step - loss: 709749632.0000 - mse: 709749632.0000\n","Epoch 101/500\n","14/14 [==============================] - 0s 2ms/step - loss: 677159616.0000 - mse: 677159616.0000\n","Epoch 102/500\n","14/14 [==============================] - 0s 1ms/step - loss: 645754304.0000 - mse: 645754304.0000\n","Epoch 103/500\n","14/14 [==============================] - 0s 2ms/step - loss: 616818368.0000 - mse: 616818368.0000\n","Epoch 104/500\n","14/14 [==============================] - 0s 2ms/step - loss: 589900480.0000 - mse: 589900480.0000\n","Epoch 105/500\n","14/14 [==============================] - 0s 2ms/step - loss: 564491200.0000 - mse: 564491200.0000\n","Epoch 106/500\n","14/14 [==============================] - 0s 1ms/step - loss: 540555264.0000 - mse: 540555264.0000\n","Epoch 107/500\n","14/14 [==============================] - 0s 2ms/step - loss: 519318816.0000 - mse: 519318816.0000\n","Epoch 108/500\n","14/14 [==============================] - 0s 1ms/step - loss: 498624480.0000 - mse: 498624480.0000\n","Epoch 109/500\n","14/14 [==============================] - 0s 2ms/step - loss: 479879456.0000 - mse: 479879456.0000\n","Epoch 110/500\n","14/14 [==============================] - 0s 2ms/step - loss: 463176352.0000 - mse: 463176352.0000\n","Epoch 111/500\n","14/14 [==============================] - 0s 1ms/step - loss: 447346400.0000 - mse: 447346400.0000\n","Epoch 112/500\n","14/14 [==============================] - 0s 1ms/step - loss: 432688864.0000 - mse: 432688864.0000\n","Epoch 113/500\n","14/14 [==============================] - 0s 1ms/step - loss: 419350656.0000 - mse: 419350656.0000\n","Epoch 114/500\n","14/14 [==============================] - 0s 1ms/step - loss: 407118272.0000 - mse: 407118272.0000\n","Epoch 115/500\n","14/14 [==============================] - 0s 2ms/step - loss: 396192096.0000 - mse: 396192096.0000\n","Epoch 116/500\n","14/14 [==============================] - 0s 2ms/step - loss: 386416608.0000 - mse: 386416608.0000\n","Epoch 117/500\n","14/14 [==============================] - 0s 1ms/step - loss: 377405408.0000 - mse: 377405408.0000\n","Epoch 118/500\n","14/14 [==============================] - 0s 2ms/step - loss: 368725280.0000 - mse: 368725280.0000\n","Epoch 119/500\n","14/14 [==============================] - 0s 3ms/step - loss: 361317408.0000 - mse: 361317408.0000\n","Epoch 120/500\n","14/14 [==============================] - 0s 2ms/step - loss: 355175200.0000 - mse: 355175200.0000\n","Epoch 121/500\n","14/14 [==============================] - 0s 1ms/step - loss: 348874848.0000 - mse: 348874848.0000\n","Epoch 122/500\n","14/14 [==============================] - 0s 1ms/step - loss: 343404672.0000 - mse: 343404672.0000\n","Epoch 123/500\n","14/14 [==============================] - 0s 1ms/step - loss: 338828704.0000 - mse: 338828704.0000\n","Epoch 124/500\n","14/14 [==============================] - 0s 1ms/step - loss: 334378240.0000 - mse: 334378240.0000\n","Epoch 125/500\n","14/14 [==============================] - 0s 1ms/step - loss: 330725120.0000 - mse: 330725120.0000\n","Epoch 126/500\n","14/14 [==============================] - 0s 1ms/step - loss: 327355168.0000 - mse: 327355168.0000\n","Epoch 127/500\n","14/14 [==============================] - 0s 1ms/step - loss: 324461984.0000 - mse: 324461984.0000\n","Epoch 128/500\n","14/14 [==============================] - 0s 1ms/step - loss: 321725888.0000 - mse: 321725888.0000\n","Epoch 129/500\n","14/14 [==============================] - 0s 1ms/step - loss: 319329088.0000 - mse: 319329088.0000\n","Epoch 130/500\n","14/14 [==============================] - 0s 2ms/step - loss: 317501952.0000 - mse: 317501952.0000\n","Epoch 131/500\n","14/14 [==============================] - 0s 1ms/step - loss: 315737760.0000 - mse: 315737760.0000\n","Epoch 132/500\n","14/14 [==============================] - 0s 1ms/step - loss: 313976512.0000 - mse: 313976512.0000\n","Epoch 133/500\n","14/14 [==============================] - 0s 1ms/step - loss: 312542432.0000 - mse: 312542432.0000\n","Epoch 134/500\n","14/14 [==============================] - 0s 1ms/step - loss: 311570368.0000 - mse: 311570368.0000\n","Epoch 135/500\n","14/14 [==============================] - 0s 1ms/step - loss: 310421792.0000 - mse: 310421792.0000\n","Epoch 136/500\n","14/14 [==============================] - 0s 2ms/step - loss: 309625408.0000 - mse: 309625408.0000\n","Epoch 137/500\n","14/14 [==============================] - 0s 2ms/step - loss: 308645408.0000 - mse: 308645408.0000\n","Epoch 138/500\n","14/14 [==============================] - 0s 2ms/step - loss: 308078304.0000 - mse: 308078304.0000\n","Epoch 139/500\n","14/14 [==============================] - 0s 1ms/step - loss: 307399328.0000 - mse: 307399328.0000\n","Epoch 140/500\n","14/14 [==============================] - 0s 2ms/step - loss: 306890752.0000 - mse: 306890752.0000\n","Epoch 141/500\n","14/14 [==============================] - 0s 1ms/step - loss: 306375360.0000 - mse: 306375360.0000\n","Epoch 142/500\n","14/14 [==============================] - 0s 1ms/step - loss: 305941792.0000 - mse: 305941792.0000\n","Epoch 143/500\n","14/14 [==============================] - 0s 1ms/step - loss: 305573344.0000 - mse: 305573344.0000\n","Epoch 144/500\n","14/14 [==============================] - 0s 1ms/step - loss: 305272896.0000 - mse: 305272896.0000\n","Epoch 145/500\n","14/14 [==============================] - 0s 2ms/step - loss: 304944128.0000 - mse: 304944128.0000\n","Epoch 146/500\n","14/14 [==============================] - 0s 1ms/step - loss: 304747648.0000 - mse: 304747648.0000\n","Epoch 147/500\n","14/14 [==============================] - 0s 1ms/step - loss: 304465760.0000 - mse: 304465760.0000\n","Epoch 148/500\n","14/14 [==============================] - 0s 1ms/step - loss: 304272896.0000 - mse: 304272896.0000\n","Epoch 149/500\n","14/14 [==============================] - 0s 1ms/step - loss: 304086848.0000 - mse: 304086848.0000\n","Epoch 150/500\n","14/14 [==============================] - 0s 2ms/step - loss: 303942976.0000 - mse: 303942976.0000\n","Epoch 151/500\n","14/14 [==============================] - 0s 2ms/step - loss: 303763392.0000 - mse: 303763392.0000\n","Epoch 152/500\n","14/14 [==============================] - 0s 2ms/step - loss: 303606976.0000 - mse: 303606976.0000\n","Epoch 153/500\n","14/14 [==============================] - 0s 2ms/step - loss: 303498112.0000 - mse: 303498112.0000\n","Epoch 154/500\n","14/14 [==============================] - 0s 2ms/step - loss: 303353632.0000 - mse: 303353632.0000\n","Epoch 155/500\n","14/14 [==============================] - 0s 1ms/step - loss: 303287616.0000 - mse: 303287616.0000\n","Epoch 156/500\n","14/14 [==============================] - 0s 1ms/step - loss: 303207264.0000 - mse: 303207264.0000\n","Epoch 157/500\n","14/14 [==============================] - 0s 2ms/step - loss: 303039904.0000 - mse: 303039904.0000\n","Epoch 158/500\n","14/14 [==============================] - 0s 2ms/step - loss: 302905664.0000 - mse: 302905664.0000\n","Epoch 159/500\n","14/14 [==============================] - 0s 1ms/step - loss: 302824992.0000 - mse: 302824992.0000\n","Epoch 160/500\n","14/14 [==============================] - 0s 2ms/step - loss: 302750528.0000 - mse: 302750528.0000\n","Epoch 161/500\n","14/14 [==============================] - 0s 2ms/step - loss: 302635200.0000 - mse: 302635200.0000\n","Epoch 162/500\n","14/14 [==============================] - 0s 2ms/step - loss: 302538080.0000 - mse: 302538080.0000\n","Epoch 163/500\n","14/14 [==============================] - 0s 3ms/step - loss: 302432992.0000 - mse: 302432992.0000\n","Epoch 164/500\n","14/14 [==============================] - 0s 2ms/step - loss: 302374336.0000 - mse: 302374336.0000\n","Epoch 165/500\n","14/14 [==============================] - 0s 2ms/step - loss: 302253536.0000 - mse: 302253536.0000\n","Epoch 166/500\n","14/14 [==============================] - 0s 1ms/step - loss: 302166144.0000 - mse: 302166144.0000\n","Epoch 167/500\n","14/14 [==============================] - 0s 2ms/step - loss: 302134464.0000 - mse: 302134464.0000\n","Epoch 168/500\n","14/14 [==============================] - 0s 1ms/step - loss: 301989760.0000 - mse: 301989760.0000\n","Epoch 169/500\n","14/14 [==============================] - 0s 1ms/step - loss: 301896416.0000 - mse: 301896416.0000\n","Epoch 170/500\n","14/14 [==============================] - 0s 1ms/step - loss: 301812512.0000 - mse: 301812512.0000\n","Epoch 171/500\n","14/14 [==============================] - 0s 2ms/step - loss: 301781664.0000 - mse: 301781664.0000\n","Epoch 172/500\n","14/14 [==============================] - 0s 2ms/step - loss: 301659968.0000 - mse: 301659968.0000\n","Epoch 173/500\n","14/14 [==============================] - 0s 1ms/step - loss: 301571776.0000 - mse: 301571776.0000\n","Epoch 174/500\n","14/14 [==============================] - 0s 1ms/step - loss: 301511104.0000 - mse: 301511104.0000\n","Epoch 175/500\n","14/14 [==============================] - 0s 2ms/step - loss: 301379776.0000 - mse: 301379776.0000\n","Epoch 176/500\n","14/14 [==============================] - 0s 1ms/step - loss: 301333920.0000 - mse: 301333920.0000\n","Epoch 177/500\n","14/14 [==============================] - 0s 2ms/step - loss: 301298400.0000 - mse: 301298400.0000\n","Epoch 178/500\n","14/14 [==============================] - 0s 1ms/step - loss: 301259424.0000 - mse: 301259424.0000\n","Epoch 179/500\n","14/14 [==============================] - 0s 1ms/step - loss: 301030176.0000 - mse: 301030176.0000\n","Epoch 180/500\n","14/14 [==============================] - 0s 1ms/step - loss: 300933056.0000 - mse: 300933056.0000\n","Epoch 181/500\n","14/14 [==============================] - 0s 1ms/step - loss: 300837696.0000 - mse: 300837696.0000\n","Epoch 182/500\n","14/14 [==============================] - 0s 1ms/step - loss: 300816128.0000 - mse: 300816128.0000\n","Epoch 183/500\n","14/14 [==============================] - 0s 1ms/step - loss: 300693120.0000 - mse: 300693120.0000\n","Epoch 184/500\n","14/14 [==============================] - 0s 2ms/step - loss: 300584224.0000 - mse: 300584224.0000\n","Epoch 185/500\n","14/14 [==============================] - 0s 1ms/step - loss: 300506528.0000 - mse: 300506528.0000\n","Epoch 186/500\n","14/14 [==============================] - 0s 1ms/step - loss: 300424992.0000 - mse: 300424992.0000\n","Epoch 187/500\n","14/14 [==============================] - 0s 1ms/step - loss: 300355552.0000 - mse: 300355552.0000\n","Epoch 188/500\n","14/14 [==============================] - 0s 2ms/step - loss: 300199680.0000 - mse: 300199680.0000\n","Epoch 189/500\n","14/14 [==============================] - 0s 2ms/step - loss: 300151328.0000 - mse: 300151328.0000\n","Epoch 190/500\n","14/14 [==============================] - 0s 2ms/step - loss: 300029056.0000 - mse: 300029056.0000\n","Epoch 191/500\n","14/14 [==============================] - 0s 1ms/step - loss: 299946112.0000 - mse: 299946112.0000\n","Epoch 192/500\n","14/14 [==============================] - 0s 1ms/step - loss: 299884640.0000 - mse: 299884640.0000\n","Epoch 193/500\n","14/14 [==============================] - 0s 2ms/step - loss: 299754240.0000 - mse: 299754240.0000\n","Epoch 194/500\n","14/14 [==============================] - 0s 2ms/step - loss: 299655520.0000 - mse: 299655520.0000\n","Epoch 195/500\n","14/14 [==============================] - 0s 2ms/step - loss: 299565664.0000 - mse: 299565664.0000\n","Epoch 196/500\n","14/14 [==============================] - 0s 2ms/step - loss: 299467136.0000 - mse: 299467136.0000\n","Epoch 197/500\n","14/14 [==============================] - 0s 2ms/step - loss: 299365888.0000 - mse: 299365888.0000\n","Epoch 198/500\n","14/14 [==============================] - 0s 1ms/step - loss: 299304992.0000 - mse: 299304992.0000\n","Epoch 199/500\n","14/14 [==============================] - 0s 2ms/step - loss: 299204032.0000 - mse: 299204032.0000\n","Epoch 200/500\n","14/14 [==============================] - 0s 2ms/step - loss: 299138944.0000 - mse: 299138944.0000\n","Epoch 201/500\n","14/14 [==============================] - 0s 1ms/step - loss: 299040832.0000 - mse: 299040832.0000\n","Epoch 202/500\n","14/14 [==============================] - 0s 2ms/step - loss: 298957856.0000 - mse: 298957856.0000\n","Epoch 203/500\n","14/14 [==============================] - 0s 2ms/step - loss: 298858656.0000 - mse: 298858656.0000\n","Epoch 204/500\n","14/14 [==============================] - 0s 2ms/step - loss: 298716288.0000 - mse: 298716288.0000\n","Epoch 205/500\n","14/14 [==============================] - 0s 2ms/step - loss: 298621728.0000 - mse: 298621728.0000\n","Epoch 206/500\n","14/14 [==============================] - 0s 2ms/step - loss: 298524704.0000 - mse: 298524704.0000\n","Epoch 207/500\n","14/14 [==============================] - 0s 2ms/step - loss: 298414880.0000 - mse: 298414880.0000\n","Epoch 208/500\n","14/14 [==============================] - 0s 2ms/step - loss: 298441728.0000 - mse: 298441728.0000\n","Epoch 209/500\n","14/14 [==============================] - 0s 2ms/step - loss: 298209248.0000 - mse: 298209248.0000\n","Epoch 210/500\n","14/14 [==============================] - 0s 2ms/step - loss: 298103648.0000 - mse: 298103616.0000\n","Epoch 211/500\n","14/14 [==============================] - 0s 2ms/step - loss: 298013568.0000 - mse: 298013568.0000\n","Epoch 212/500\n","14/14 [==============================] - 0s 1ms/step - loss: 297934720.0000 - mse: 297934720.0000\n","Epoch 213/500\n","14/14 [==============================] - 0s 1ms/step - loss: 297824800.0000 - mse: 297824800.0000\n","Epoch 214/500\n","14/14 [==============================] - 0s 2ms/step - loss: 297730720.0000 - mse: 297730720.0000\n","Epoch 215/500\n","14/14 [==============================] - 0s 1ms/step - loss: 297669984.0000 - mse: 297669984.0000\n","Epoch 216/500\n","14/14 [==============================] - 0s 1ms/step - loss: 297507584.0000 - mse: 297507584.0000\n","Epoch 217/500\n","14/14 [==============================] - 0s 2ms/step - loss: 297415136.0000 - mse: 297415136.0000\n","Epoch 218/500\n","14/14 [==============================] - 0s 2ms/step - loss: 297380672.0000 - mse: 297380672.0000\n","Epoch 219/500\n","14/14 [==============================] - 0s 2ms/step - loss: 297266944.0000 - mse: 297266944.0000\n","Epoch 220/500\n","14/14 [==============================] - 0s 2ms/step - loss: 297105568.0000 - mse: 297105568.0000\n","Epoch 221/500\n","14/14 [==============================] - 0s 1ms/step - loss: 297042112.0000 - mse: 297042112.0000\n","Epoch 222/500\n","14/14 [==============================] - 0s 2ms/step - loss: 296924672.0000 - mse: 296924672.0000\n","Epoch 223/500\n","14/14 [==============================] - 0s 1ms/step - loss: 296836704.0000 - mse: 296836704.0000\n","Epoch 224/500\n","14/14 [==============================] - 0s 1ms/step - loss: 296954592.0000 - mse: 296954592.0000\n","Epoch 225/500\n","14/14 [==============================] - 0s 2ms/step - loss: 296595808.0000 - mse: 296595808.0000\n","Epoch 226/500\n","14/14 [==============================] - 0s 1ms/step - loss: 296506912.0000 - mse: 296506912.0000\n","Epoch 227/500\n","14/14 [==============================] - 0s 1ms/step - loss: 296443264.0000 - mse: 296443264.0000\n","Epoch 228/500\n","14/14 [==============================] - 0s 2ms/step - loss: 296291136.0000 - mse: 296291136.0000\n","Epoch 229/500\n","14/14 [==============================] - 0s 1ms/step - loss: 296189376.0000 - mse: 296189376.0000\n","Epoch 230/500\n","14/14 [==============================] - 0s 2ms/step - loss: 296103264.0000 - mse: 296103264.0000\n","Epoch 231/500\n","14/14 [==============================] - 0s 2ms/step - loss: 296027680.0000 - mse: 296027680.0000\n","Epoch 232/500\n","14/14 [==============================] - 0s 1ms/step - loss: 295870496.0000 - mse: 295870496.0000\n","Epoch 233/500\n","14/14 [==============================] - 0s 2ms/step - loss: 295774336.0000 - mse: 295774336.0000\n","Epoch 234/500\n","14/14 [==============================] - 0s 2ms/step - loss: 295740704.0000 - mse: 295740704.0000\n","Epoch 235/500\n","14/14 [==============================] - 0s 1ms/step - loss: 295582080.0000 - mse: 295582080.0000\n","Epoch 236/500\n","14/14 [==============================] - 0s 2ms/step - loss: 295505216.0000 - mse: 295505216.0000\n","Epoch 237/500\n","14/14 [==============================] - 0s 2ms/step - loss: 295469664.0000 - mse: 295469664.0000\n","Epoch 238/500\n","14/14 [==============================] - 0s 2ms/step - loss: 295340992.0000 - mse: 295340992.0000\n","Epoch 239/500\n","14/14 [==============================] - 0s 1ms/step - loss: 295161664.0000 - mse: 295161664.0000\n","Epoch 240/500\n","14/14 [==============================] - 0s 2ms/step - loss: 295079456.0000 - mse: 295079456.0000\n","Epoch 241/500\n","14/14 [==============================] - 0s 1ms/step - loss: 294960096.0000 - mse: 294960096.0000\n","Epoch 242/500\n","14/14 [==============================] - 0s 1ms/step - loss: 294930144.0000 - mse: 294930144.0000\n","Epoch 243/500\n","14/14 [==============================] - 0s 2ms/step - loss: 294797152.0000 - mse: 294797152.0000\n","Epoch 244/500\n","14/14 [==============================] - 0s 2ms/step - loss: 294719296.0000 - mse: 294719296.0000\n","Epoch 245/500\n","14/14 [==============================] - 0s 2ms/step - loss: 294570912.0000 - mse: 294570912.0000\n","Epoch 246/500\n","14/14 [==============================] - 0s 2ms/step - loss: 294407296.0000 - mse: 294407296.0000\n","Epoch 247/500\n","14/14 [==============================] - 0s 2ms/step - loss: 294288928.0000 - mse: 294288928.0000\n","Epoch 248/500\n","14/14 [==============================] - 0s 2ms/step - loss: 294202464.0000 - mse: 294202464.0000\n","Epoch 249/500\n","14/14 [==============================] - 0s 1ms/step - loss: 294090528.0000 - mse: 294090528.0000\n","Epoch 250/500\n","14/14 [==============================] - 0s 1ms/step - loss: 293958688.0000 - mse: 293958688.0000\n","Epoch 251/500\n","14/14 [==============================] - 0s 2ms/step - loss: 293889536.0000 - mse: 293889536.0000\n","Epoch 252/500\n","14/14 [==============================] - 0s 1ms/step - loss: 293806368.0000 - mse: 293806368.0000\n","Epoch 253/500\n","14/14 [==============================] - 0s 1ms/step - loss: 293620864.0000 - mse: 293620864.0000\n","Epoch 254/500\n","14/14 [==============================] - 0s 1ms/step - loss: 293572352.0000 - mse: 293572352.0000\n","Epoch 255/500\n","14/14 [==============================] - 0s 2ms/step - loss: 293435360.0000 - mse: 293435360.0000\n","Epoch 256/500\n","14/14 [==============================] - 0s 2ms/step - loss: 293338240.0000 - mse: 293338240.0000\n","Epoch 257/500\n","14/14 [==============================] - 0s 1ms/step - loss: 293193344.0000 - mse: 293193344.0000\n","Epoch 258/500\n","14/14 [==============================] - 0s 2ms/step - loss: 293090432.0000 - mse: 293090432.0000\n","Epoch 259/500\n","14/14 [==============================] - 0s 1ms/step - loss: 292977184.0000 - mse: 292977184.0000\n","Epoch 260/500\n","14/14 [==============================] - 0s 1ms/step - loss: 292910304.0000 - mse: 292910304.0000\n","Epoch 261/500\n","14/14 [==============================] - 0s 1ms/step - loss: 292817568.0000 - mse: 292817568.0000\n","Epoch 262/500\n","14/14 [==============================] - 0s 2ms/step - loss: 292668256.0000 - mse: 292668256.0000\n","Epoch 263/500\n","14/14 [==============================] - 0s 2ms/step - loss: 292553440.0000 - mse: 292553440.0000\n","Epoch 264/500\n","14/14 [==============================] - 0s 2ms/step - loss: 292403424.0000 - mse: 292403424.0000\n","Epoch 265/500\n","14/14 [==============================] - 0s 1ms/step - loss: 292350656.0000 - mse: 292350656.0000\n","Epoch 266/500\n","14/14 [==============================] - 0s 2ms/step - loss: 292294272.0000 - mse: 292294272.0000\n","Epoch 267/500\n","14/14 [==============================] - 0s 2ms/step - loss: 292080448.0000 - mse: 292080448.0000\n","Epoch 268/500\n","14/14 [==============================] - 0s 1ms/step - loss: 292009920.0000 - mse: 292009920.0000\n","Epoch 269/500\n","14/14 [==============================] - 0s 2ms/step - loss: 291919744.0000 - mse: 291919744.0000\n","Epoch 270/500\n","14/14 [==============================] - 0s 2ms/step - loss: 291750784.0000 - mse: 291750784.0000\n","Epoch 271/500\n","14/14 [==============================] - 0s 2ms/step - loss: 291865824.0000 - mse: 291865824.0000\n","Epoch 272/500\n","14/14 [==============================] - 0s 2ms/step - loss: 291681728.0000 - mse: 291681728.0000\n","Epoch 273/500\n","14/14 [==============================] - 0s 2ms/step - loss: 291413024.0000 - mse: 291413024.0000\n","Epoch 274/500\n","14/14 [==============================] - 0s 2ms/step - loss: 291332032.0000 - mse: 291332032.0000\n","Epoch 275/500\n","14/14 [==============================] - 0s 1ms/step - loss: 291216064.0000 - mse: 291216064.0000\n","Epoch 276/500\n","14/14 [==============================] - 0s 2ms/step - loss: 291208416.0000 - mse: 291208416.0000\n","Epoch 277/500\n","14/14 [==============================] - 0s 2ms/step - loss: 290998752.0000 - mse: 290998752.0000\n","Epoch 278/500\n","14/14 [==============================] - 0s 2ms/step - loss: 290948000.0000 - mse: 290948000.0000\n","Epoch 279/500\n","14/14 [==============================] - 0s 1ms/step - loss: 290787648.0000 - mse: 290787648.0000\n","Epoch 280/500\n","14/14 [==============================] - 0s 1ms/step - loss: 290673952.0000 - mse: 290673952.0000\n","Epoch 281/500\n","14/14 [==============================] - 0s 2ms/step - loss: 290503104.0000 - mse: 290503104.0000\n","Epoch 282/500\n","14/14 [==============================] - 0s 1ms/step - loss: 290423840.0000 - mse: 290423840.0000\n","Epoch 283/500\n","14/14 [==============================] - 0s 2ms/step - loss: 290290560.0000 - mse: 290290560.0000\n","Epoch 284/500\n","14/14 [==============================] - 0s 1ms/step - loss: 290201600.0000 - mse: 290201600.0000\n","Epoch 285/500\n","14/14 [==============================] - 0s 1ms/step - loss: 290150144.0000 - mse: 290150144.0000\n","Epoch 286/500\n","14/14 [==============================] - 0s 2ms/step - loss: 289943232.0000 - mse: 289943232.0000\n","Epoch 287/500\n","14/14 [==============================] - 0s 1ms/step - loss: 289869984.0000 - mse: 289869984.0000\n","Epoch 288/500\n","14/14 [==============================] - 0s 2ms/step - loss: 289730304.0000 - mse: 289730304.0000\n","Epoch 289/500\n","14/14 [==============================] - 0s 1ms/step - loss: 289687904.0000 - mse: 289687904.0000\n","Epoch 290/500\n","14/14 [==============================] - 0s 1ms/step - loss: 289547072.0000 - mse: 289547072.0000\n","Epoch 291/500\n","14/14 [==============================] - 0s 2ms/step - loss: 289413280.0000 - mse: 289413280.0000\n","Epoch 292/500\n","14/14 [==============================] - 0s 1ms/step - loss: 289300928.0000 - mse: 289300928.0000\n","Epoch 293/500\n","14/14 [==============================] - 0s 2ms/step - loss: 289176096.0000 - mse: 289176096.0000\n","Epoch 294/500\n","14/14 [==============================] - 0s 1ms/step - loss: 289173664.0000 - mse: 289173664.0000\n","Epoch 295/500\n","14/14 [==============================] - 0s 2ms/step - loss: 288944128.0000 - mse: 288944128.0000\n","Epoch 296/500\n","14/14 [==============================] - 0s 2ms/step - loss: 288806080.0000 - mse: 288806080.0000\n","Epoch 297/500\n","14/14 [==============================] - 0s 2ms/step - loss: 288777184.0000 - mse: 288777184.0000\n","Epoch 298/500\n","14/14 [==============================] - 0s 2ms/step - loss: 288604384.0000 - mse: 288604384.0000\n","Epoch 299/500\n","14/14 [==============================] - 0s 2ms/step - loss: 288496000.0000 - mse: 288496000.0000\n","Epoch 300/500\n","14/14 [==============================] - 0s 2ms/step - loss: 288372288.0000 - mse: 288372288.0000\n","Epoch 301/500\n","14/14 [==============================] - 0s 2ms/step - loss: 288244704.0000 - mse: 288244704.0000\n","Epoch 302/500\n","14/14 [==============================] - 0s 2ms/step - loss: 288184512.0000 - mse: 288184512.0000\n","Epoch 303/500\n","14/14 [==============================] - 0s 1ms/step - loss: 288074944.0000 - mse: 288074944.0000\n","Epoch 304/500\n","14/14 [==============================] - 0s 1ms/step - loss: 287957152.0000 - mse: 287957152.0000\n","Epoch 305/500\n","14/14 [==============================] - 0s 1ms/step - loss: 287800064.0000 - mse: 287800064.0000\n","Epoch 306/500\n","14/14 [==============================] - 0s 1ms/step - loss: 287677536.0000 - mse: 287677536.0000\n","Epoch 307/500\n","14/14 [==============================] - 0s 2ms/step - loss: 287597120.0000 - mse: 287597120.0000\n","Epoch 308/500\n","14/14 [==============================] - 0s 2ms/step - loss: 287464352.0000 - mse: 287464352.0000\n","Epoch 309/500\n","14/14 [==============================] - 0s 2ms/step - loss: 287378496.0000 - mse: 287378496.0000\n","Epoch 310/500\n","14/14 [==============================] - 0s 1ms/step - loss: 287221376.0000 - mse: 287221376.0000\n","Epoch 311/500\n","14/14 [==============================] - 0s 1ms/step - loss: 287134848.0000 - mse: 287134848.0000\n","Epoch 312/500\n","14/14 [==============================] - 0s 1ms/step - loss: 287020992.0000 - mse: 287020992.0000\n","Epoch 313/500\n","14/14 [==============================] - 0s 1ms/step - loss: 286873760.0000 - mse: 286873760.0000\n","Epoch 314/500\n","14/14 [==============================] - 0s 1ms/step - loss: 286819616.0000 - mse: 286819616.0000\n","Epoch 315/500\n","14/14 [==============================] - 0s 2ms/step - loss: 286931872.0000 - mse: 286931872.0000\n","Epoch 316/500\n","14/14 [==============================] - 0s 1ms/step - loss: 286566464.0000 - mse: 286566464.0000\n","Epoch 317/500\n","14/14 [==============================] - 0s 1ms/step - loss: 286441600.0000 - mse: 286441600.0000\n","Epoch 318/500\n","14/14 [==============================] - 0s 1ms/step - loss: 286325792.0000 - mse: 286325792.0000\n","Epoch 319/500\n","14/14 [==============================] - 0s 1ms/step - loss: 286217248.0000 - mse: 286217248.0000\n","Epoch 320/500\n","14/14 [==============================] - 0s 2ms/step - loss: 286191520.0000 - mse: 286191520.0000\n","Epoch 321/500\n","14/14 [==============================] - 0s 2ms/step - loss: 286024576.0000 - mse: 286024576.0000\n","Epoch 322/500\n","14/14 [==============================] - 0s 1ms/step - loss: 285848448.0000 - mse: 285848448.0000\n","Epoch 323/500\n","14/14 [==============================] - 0s 1ms/step - loss: 285754592.0000 - mse: 285754592.0000\n","Epoch 324/500\n","14/14 [==============================] - 0s 2ms/step - loss: 285618336.0000 - mse: 285618336.0000\n","Epoch 325/500\n","14/14 [==============================] - 0s 2ms/step - loss: 285714656.0000 - mse: 285714656.0000\n","Epoch 326/500\n","14/14 [==============================] - 0s 2ms/step - loss: 285400960.0000 - mse: 285400960.0000\n","Epoch 327/500\n","14/14 [==============================] - 0s 1ms/step - loss: 285361920.0000 - mse: 285361920.0000\n","Epoch 328/500\n","14/14 [==============================] - 0s 1ms/step - loss: 285192928.0000 - mse: 285192928.0000\n","Epoch 329/500\n","14/14 [==============================] - 0s 2ms/step - loss: 285166336.0000 - mse: 285166336.0000\n","Epoch 330/500\n","14/14 [==============================] - 0s 2ms/step - loss: 284978080.0000 - mse: 284978080.0000\n","Epoch 331/500\n","14/14 [==============================] - 0s 2ms/step - loss: 284843968.0000 - mse: 284843968.0000\n","Epoch 332/500\n","14/14 [==============================] - 0s 2ms/step - loss: 284783904.0000 - mse: 284783904.0000\n","Epoch 333/500\n","14/14 [==============================] - 0s 1ms/step - loss: 284574368.0000 - mse: 284574368.0000\n","Epoch 334/500\n","14/14 [==============================] - 0s 2ms/step - loss: 284485664.0000 - mse: 284485664.0000\n","Epoch 335/500\n","14/14 [==============================] - 0s 1ms/step - loss: 284482176.0000 - mse: 284482176.0000\n","Epoch 336/500\n","14/14 [==============================] - 0s 2ms/step - loss: 284309472.0000 - mse: 284309472.0000\n","Epoch 337/500\n","14/14 [==============================] - 0s 2ms/step - loss: 284224288.0000 - mse: 284224288.0000\n","Epoch 338/500\n","14/14 [==============================] - 0s 2ms/step - loss: 284057472.0000 - mse: 284057472.0000\n","Epoch 339/500\n","14/14 [==============================] - 0s 1ms/step - loss: 283954048.0000 - mse: 283954048.0000\n","Epoch 340/500\n","14/14 [==============================] - 0s 1ms/step - loss: 283916544.0000 - mse: 283916544.0000\n","Epoch 341/500\n","14/14 [==============================] - 0s 1ms/step - loss: 283716672.0000 - mse: 283716672.0000\n","Epoch 342/500\n","14/14 [==============================] - 0s 1ms/step - loss: 283611136.0000 - mse: 283611136.0000\n","Epoch 343/500\n","14/14 [==============================] - 0s 2ms/step - loss: 283588032.0000 - mse: 283588032.0000\n","Epoch 344/500\n","14/14 [==============================] - 0s 1ms/step - loss: 283372064.0000 - mse: 283372064.0000\n","Epoch 345/500\n","14/14 [==============================] - 0s 1ms/step - loss: 283302528.0000 - mse: 283302528.0000\n","Epoch 346/500\n","14/14 [==============================] - 0s 1ms/step - loss: 283133568.0000 - mse: 283133568.0000\n","Epoch 347/500\n","14/14 [==============================] - 0s 1ms/step - loss: 283323744.0000 - mse: 283323744.0000\n","Epoch 348/500\n","14/14 [==============================] - 0s 1ms/step - loss: 282859712.0000 - mse: 282859712.0000\n","Epoch 349/500\n","14/14 [==============================] - 0s 2ms/step - loss: 282842752.0000 - mse: 282842752.0000\n","Epoch 350/500\n","14/14 [==============================] - 0s 1ms/step - loss: 282814880.0000 - mse: 282814880.0000\n","Epoch 351/500\n","14/14 [==============================] - 0s 2ms/step - loss: 282600000.0000 - mse: 282600000.0000\n","Epoch 352/500\n","14/14 [==============================] - 0s 2ms/step - loss: 282474784.0000 - mse: 282474784.0000\n","Epoch 353/500\n","14/14 [==============================] - 0s 1ms/step - loss: 282323680.0000 - mse: 282323680.0000\n","Epoch 354/500\n","14/14 [==============================] - 0s 2ms/step - loss: 282217920.0000 - mse: 282217920.0000\n","Epoch 355/500\n","14/14 [==============================] - 0s 1ms/step - loss: 282170144.0000 - mse: 282170144.0000\n","Epoch 356/500\n","14/14 [==============================] - 0s 1ms/step - loss: 282200128.0000 - mse: 282200128.0000\n","Epoch 357/500\n","14/14 [==============================] - 0s 1ms/step - loss: 281897216.0000 - mse: 281897216.0000\n","Epoch 358/500\n","14/14 [==============================] - 0s 1ms/step - loss: 281829952.0000 - mse: 281829952.0000\n","Epoch 359/500\n","14/14 [==============================] - 0s 1ms/step - loss: 281653984.0000 - mse: 281653984.0000\n","Epoch 360/500\n","14/14 [==============================] - 0s 2ms/step - loss: 281626688.0000 - mse: 281626688.0000\n","Epoch 361/500\n","14/14 [==============================] - 0s 2ms/step - loss: 281507104.0000 - mse: 281507104.0000\n","Epoch 362/500\n","14/14 [==============================] - 0s 1ms/step - loss: 281369440.0000 - mse: 281369440.0000\n","Epoch 363/500\n","14/14 [==============================] - 0s 1ms/step - loss: 281224736.0000 - mse: 281224736.0000\n","Epoch 364/500\n","14/14 [==============================] - 0s 1ms/step - loss: 281111904.0000 - mse: 281111904.0000\n","Epoch 365/500\n","14/14 [==============================] - 0s 1ms/step - loss: 281015488.0000 - mse: 281015488.0000\n","Epoch 366/500\n","14/14 [==============================] - 0s 2ms/step - loss: 280904608.0000 - mse: 280904608.0000\n","Epoch 367/500\n","14/14 [==============================] - 0s 1ms/step - loss: 280822208.0000 - mse: 280822208.0000\n","Epoch 368/500\n","14/14 [==============================] - 0s 1ms/step - loss: 280667776.0000 - mse: 280667776.0000\n","Epoch 369/500\n","14/14 [==============================] - 0s 1ms/step - loss: 280591968.0000 - mse: 280591968.0000\n","Epoch 370/500\n","14/14 [==============================] - 0s 1ms/step - loss: 280618336.0000 - mse: 280618336.0000\n","Epoch 371/500\n","14/14 [==============================] - 0s 1ms/step - loss: 280391200.0000 - mse: 280391200.0000\n","Epoch 372/500\n","14/14 [==============================] - 0s 2ms/step - loss: 280283136.0000 - mse: 280283136.0000\n","Epoch 373/500\n","14/14 [==============================] - 0s 1ms/step - loss: 280137504.0000 - mse: 280137504.0000\n","Epoch 374/500\n","14/14 [==============================] - 0s 2ms/step - loss: 280122080.0000 - mse: 280122080.0000\n","Epoch 375/500\n","14/14 [==============================] - 0s 2ms/step - loss: 279969344.0000 - mse: 279969344.0000\n","Epoch 376/500\n","14/14 [==============================] - 0s 2ms/step - loss: 279825600.0000 - mse: 279825600.0000\n","Epoch 377/500\n","14/14 [==============================] - 0s 1ms/step - loss: 279749120.0000 - mse: 279749120.0000\n","Epoch 378/500\n","14/14 [==============================] - 0s 2ms/step - loss: 279594880.0000 - mse: 279594880.0000\n","Epoch 379/500\n","14/14 [==============================] - 0s 2ms/step - loss: 279513344.0000 - mse: 279513344.0000\n","Epoch 380/500\n","14/14 [==============================] - 0s 2ms/step - loss: 279365888.0000 - mse: 279365888.0000\n","Epoch 381/500\n","14/14 [==============================] - 0s 2ms/step - loss: 279303264.0000 - mse: 279303264.0000\n","Epoch 382/500\n","14/14 [==============================] - 0s 1ms/step - loss: 279144640.0000 - mse: 279144640.0000\n","Epoch 383/500\n","14/14 [==============================] - 0s 2ms/step - loss: 279208320.0000 - mse: 279208320.0000\n","Epoch 384/500\n","14/14 [==============================] - 0s 1ms/step - loss: 278916928.0000 - mse: 278916928.0000\n","Epoch 385/500\n","14/14 [==============================] - 0s 2ms/step - loss: 278859744.0000 - mse: 278859744.0000\n","Epoch 386/500\n","14/14 [==============================] - 0s 1ms/step - loss: 278760096.0000 - mse: 278760096.0000\n","Epoch 387/500\n","14/14 [==============================] - 0s 2ms/step - loss: 278639520.0000 - mse: 278639520.0000\n","Epoch 388/500\n","14/14 [==============================] - 0s 1ms/step - loss: 278513376.0000 - mse: 278513376.0000\n","Epoch 389/500\n","14/14 [==============================] - 0s 1ms/step - loss: 278361600.0000 - mse: 278361600.0000\n","Epoch 390/500\n","14/14 [==============================] - 0s 2ms/step - loss: 278292736.0000 - mse: 278292736.0000\n","Epoch 391/500\n","14/14 [==============================] - 0s 1ms/step - loss: 278176736.0000 - mse: 278176736.0000\n","Epoch 392/500\n","14/14 [==============================] - 0s 2ms/step - loss: 278048896.0000 - mse: 278048896.0000\n","Epoch 393/500\n","14/14 [==============================] - 0s 1ms/step - loss: 277940992.0000 - mse: 277940992.0000\n","Epoch 394/500\n","14/14 [==============================] - 0s 1ms/step - loss: 277963200.0000 - mse: 277963200.0000\n","Epoch 395/500\n","14/14 [==============================] - 0s 1ms/step - loss: 278362848.0000 - mse: 278362848.0000\n","Epoch 396/500\n","14/14 [==============================] - 0s 1ms/step - loss: 277785504.0000 - mse: 277785504.0000\n","Epoch 397/500\n","14/14 [==============================] - 0s 2ms/step - loss: 277500384.0000 - mse: 277500384.0000\n","Epoch 398/500\n","14/14 [==============================] - 0s 2ms/step - loss: 277414656.0000 - mse: 277414656.0000\n","Epoch 399/500\n","14/14 [==============================] - 0s 1ms/step - loss: 277314112.0000 - mse: 277314112.0000\n","Epoch 400/500\n","14/14 [==============================] - 0s 2ms/step - loss: 277244960.0000 - mse: 277244960.0000\n","Epoch 401/500\n","14/14 [==============================] - 0s 2ms/step - loss: 277175392.0000 - mse: 277175392.0000\n","Epoch 402/500\n","14/14 [==============================] - 0s 1ms/step - loss: 277028416.0000 - mse: 277028416.0000\n","Epoch 403/500\n","14/14 [==============================] - 0s 1ms/step - loss: 276919872.0000 - mse: 276919872.0000\n","Epoch 404/500\n","14/14 [==============================] - 0s 1ms/step - loss: 276851840.0000 - mse: 276851840.0000\n","Epoch 405/500\n","14/14 [==============================] - 0s 2ms/step - loss: 276669216.0000 - mse: 276669216.0000\n","Epoch 406/500\n","14/14 [==============================] - 0s 1ms/step - loss: 276667264.0000 - mse: 276667264.0000\n","Epoch 407/500\n","14/14 [==============================] - 0s 2ms/step - loss: 276497120.0000 - mse: 276497120.0000\n","Epoch 408/500\n","14/14 [==============================] - 0s 2ms/step - loss: 276372608.0000 - mse: 276372608.0000\n","Epoch 409/500\n","14/14 [==============================] - 0s 2ms/step - loss: 276420768.0000 - mse: 276420768.0000\n","Epoch 410/500\n","14/14 [==============================] - 0s 2ms/step - loss: 276167168.0000 - mse: 276167168.0000\n","Epoch 411/500\n","14/14 [==============================] - 0s 2ms/step - loss: 276363968.0000 - mse: 276363968.0000\n","Epoch 412/500\n","14/14 [==============================] - 0s 3ms/step - loss: 276037952.0000 - mse: 276037952.0000\n","Epoch 413/500\n","14/14 [==============================] - 0s 2ms/step - loss: 275843072.0000 - mse: 275843072.0000\n","Epoch 414/500\n","14/14 [==============================] - 0s 1ms/step - loss: 275820704.0000 - mse: 275820704.0000\n","Epoch 415/500\n","14/14 [==============================] - 0s 2ms/step - loss: 275706784.0000 - mse: 275706784.0000\n","Epoch 416/500\n","14/14 [==============================] - 0s 2ms/step - loss: 275513760.0000 - mse: 275513760.0000\n","Epoch 417/500\n","14/14 [==============================] - 0s 1ms/step - loss: 275459264.0000 - mse: 275459264.0000\n","Epoch 418/500\n","14/14 [==============================] - 0s 1ms/step - loss: 275378432.0000 - mse: 275378432.0000\n","Epoch 419/500\n","14/14 [==============================] - 0s 1ms/step - loss: 275322144.0000 - mse: 275322144.0000\n","Epoch 420/500\n","14/14 [==============================] - 0s 1ms/step - loss: 275184928.0000 - mse: 275184928.0000\n","Epoch 421/500\n","14/14 [==============================] - 0s 1ms/step - loss: 275067328.0000 - mse: 275067328.0000\n","Epoch 422/500\n","14/14 [==============================] - 0s 1ms/step - loss: 274968384.0000 - mse: 274968384.0000\n","Epoch 423/500\n","14/14 [==============================] - 0s 1ms/step - loss: 274890400.0000 - mse: 274890400.0000\n","Epoch 424/500\n","14/14 [==============================] - 0s 2ms/step - loss: 274700832.0000 - mse: 274700832.0000\n","Epoch 425/500\n","14/14 [==============================] - 0s 2ms/step - loss: 274825888.0000 - mse: 274825888.0000\n","Epoch 426/500\n","14/14 [==============================] - 0s 1ms/step - loss: 274503200.0000 - mse: 274503200.0000\n","Epoch 427/500\n","14/14 [==============================] - 0s 2ms/step - loss: 274431264.0000 - mse: 274431264.0000\n","Epoch 428/500\n","14/14 [==============================] - 0s 1ms/step - loss: 274362624.0000 - mse: 274362624.0000\n","Epoch 429/500\n","14/14 [==============================] - 0s 1ms/step - loss: 274233088.0000 - mse: 274233088.0000\n","Epoch 430/500\n","14/14 [==============================] - 0s 1ms/step - loss: 274188000.0000 - mse: 274188000.0000\n","Epoch 431/500\n","14/14 [==============================] - 0s 1ms/step - loss: 274052416.0000 - mse: 274052416.0000\n","Epoch 432/500\n","14/14 [==============================] - 0s 1ms/step - loss: 274181120.0000 - mse: 274181120.0000\n","Epoch 433/500\n","14/14 [==============================] - 0s 2ms/step - loss: 273865600.0000 - mse: 273865600.0000\n","Epoch 434/500\n","14/14 [==============================] - 0s 1ms/step - loss: 273691424.0000 - mse: 273691424.0000\n","Epoch 435/500\n","14/14 [==============================] - 0s 1ms/step - loss: 273637984.0000 - mse: 273637984.0000\n","Epoch 436/500\n","14/14 [==============================] - 0s 1ms/step - loss: 273538592.0000 - mse: 273538592.0000\n","Epoch 437/500\n","14/14 [==============================] - 0s 2ms/step - loss: 273507744.0000 - mse: 273507744.0000\n","Epoch 438/500\n","14/14 [==============================] - 0s 1ms/step - loss: 273309184.0000 - mse: 273309184.0000\n","Epoch 439/500\n","14/14 [==============================] - 0s 1ms/step - loss: 273185920.0000 - mse: 273185920.0000\n","Epoch 440/500\n","14/14 [==============================] - 0s 1ms/step - loss: 273601504.0000 - mse: 273601504.0000\n","Epoch 441/500\n","14/14 [==============================] - 0s 1ms/step - loss: 273365152.0000 - mse: 273365152.0000\n","Epoch 442/500\n","14/14 [==============================] - 0s 2ms/step - loss: 272926592.0000 - mse: 272926592.0000\n","Epoch 443/500\n","14/14 [==============================] - 0s 1ms/step - loss: 272930912.0000 - mse: 272930912.0000\n","Epoch 444/500\n","14/14 [==============================] - 0s 1ms/step - loss: 272684992.0000 - mse: 272684992.0000\n","Epoch 445/500\n","14/14 [==============================] - 0s 2ms/step - loss: 272630720.0000 - mse: 272630720.0000\n","Epoch 446/500\n","14/14 [==============================] - 0s 1ms/step - loss: 272571648.0000 - mse: 272571648.0000\n","Epoch 447/500\n","14/14 [==============================] - 0s 1ms/step - loss: 272529792.0000 - mse: 272529792.0000\n","Epoch 448/500\n","14/14 [==============================] - 0s 1ms/step - loss: 272455872.0000 - mse: 272455872.0000\n","Epoch 449/500\n","14/14 [==============================] - 0s 1ms/step - loss: 272239328.0000 - mse: 272239328.0000\n","Epoch 450/500\n","14/14 [==============================] - 0s 2ms/step - loss: 272142720.0000 - mse: 272142720.0000\n","Epoch 451/500\n","14/14 [==============================] - 0s 2ms/step - loss: 272051872.0000 - mse: 272051872.0000\n","Epoch 452/500\n","14/14 [==============================] - 0s 1ms/step - loss: 272119712.0000 - mse: 272119712.0000\n","Epoch 453/500\n","14/14 [==============================] - 0s 2ms/step - loss: 271951648.0000 - mse: 271951648.0000\n","Epoch 454/500\n","14/14 [==============================] - 0s 1ms/step - loss: 271837664.0000 - mse: 271837664.0000\n","Epoch 455/500\n","14/14 [==============================] - 0s 2ms/step - loss: 271672928.0000 - mse: 271672928.0000\n","Epoch 456/500\n","14/14 [==============================] - 0s 1ms/step - loss: 271573280.0000 - mse: 271573280.0000\n","Epoch 457/500\n","14/14 [==============================] - 0s 1ms/step - loss: 271472288.0000 - mse: 271472288.0000\n","Epoch 458/500\n","14/14 [==============================] - 0s 1ms/step - loss: 271480864.0000 - mse: 271480864.0000\n","Epoch 459/500\n","14/14 [==============================] - 0s 1ms/step - loss: 271358880.0000 - mse: 271358880.0000\n","Epoch 460/500\n","14/14 [==============================] - 0s 1ms/step - loss: 271181696.0000 - mse: 271181696.0000\n","Epoch 461/500\n","14/14 [==============================] - 0s 1ms/step - loss: 271114720.0000 - mse: 271114720.0000\n","Epoch 462/500\n","14/14 [==============================] - 0s 1ms/step - loss: 271007872.0000 - mse: 271007872.0000\n","Epoch 463/500\n","14/14 [==============================] - 0s 2ms/step - loss: 271053344.0000 - mse: 271053344.0000\n","Epoch 464/500\n","14/14 [==============================] - 0s 2ms/step - loss: 270855136.0000 - mse: 270855136.0000\n","Epoch 465/500\n","14/14 [==============================] - 0s 2ms/step - loss: 270709184.0000 - mse: 270709184.0000\n","Epoch 466/500\n","14/14 [==============================] - 0s 2ms/step - loss: 270707040.0000 - mse: 270707040.0000\n","Epoch 467/500\n","14/14 [==============================] - 0s 1ms/step - loss: 270538240.0000 - mse: 270538240.0000\n","Epoch 468/500\n","14/14 [==============================] - 0s 2ms/step - loss: 270437120.0000 - mse: 270437120.0000\n","Epoch 469/500\n","14/14 [==============================] - 0s 1ms/step - loss: 270399680.0000 - mse: 270399680.0000\n","Epoch 470/500\n","14/14 [==============================] - 0s 2ms/step - loss: 270267680.0000 - mse: 270267680.0000\n","Epoch 471/500\n","14/14 [==============================] - 0s 1ms/step - loss: 270210816.0000 - mse: 270210816.0000\n","Epoch 472/500\n","14/14 [==============================] - 0s 2ms/step - loss: 270099040.0000 - mse: 270099040.0000\n","Epoch 473/500\n","14/14 [==============================] - 0s 1ms/step - loss: 270020608.0000 - mse: 270020608.0000\n","Epoch 474/500\n","14/14 [==============================] - 0s 1ms/step - loss: 269883200.0000 - mse: 269883200.0000\n","Epoch 475/500\n","14/14 [==============================] - 0s 2ms/step - loss: 269804032.0000 - mse: 269804032.0000\n","Epoch 476/500\n","14/14 [==============================] - 0s 1ms/step - loss: 269723392.0000 - mse: 269723392.0000\n","Epoch 477/500\n","14/14 [==============================] - 0s 2ms/step - loss: 269628896.0000 - mse: 269628864.0000\n","Epoch 478/500\n","14/14 [==============================] - 0s 2ms/step - loss: 269531872.0000 - mse: 269531872.0000\n","Epoch 479/500\n","14/14 [==============================] - 0s 1ms/step - loss: 269610144.0000 - mse: 269610144.0000\n","Epoch 480/500\n","14/14 [==============================] - 0s 2ms/step - loss: 269315904.0000 - mse: 269315904.0000\n","Epoch 481/500\n","14/14 [==============================] - 0s 2ms/step - loss: 269215776.0000 - mse: 269215776.0000\n","Epoch 482/500\n","14/14 [==============================] - 0s 2ms/step - loss: 269219328.0000 - mse: 269219328.0000\n","Epoch 483/500\n","14/14 [==============================] - 0s 2ms/step - loss: 269353568.0000 - mse: 269353568.0000\n","Epoch 484/500\n","14/14 [==============================] - 0s 2ms/step - loss: 269074560.0000 - mse: 269074560.0000\n","Epoch 485/500\n","14/14 [==============================] - 0s 2ms/step - loss: 269008224.0000 - mse: 269008224.0000\n","Epoch 486/500\n","14/14 [==============================] - 0s 2ms/step - loss: 268869568.0000 - mse: 268869568.0000\n","Epoch 487/500\n","14/14 [==============================] - 0s 3ms/step - loss: 268781856.0000 - mse: 268781856.0000\n","Epoch 488/500\n","14/14 [==============================] - 0s 1ms/step - loss: 268684608.0000 - mse: 268684608.0000\n","Epoch 489/500\n","14/14 [==============================] - 0s 1ms/step - loss: 268621312.0000 - mse: 268621312.0000\n","Epoch 490/500\n","14/14 [==============================] - 0s 1ms/step - loss: 268444768.0000 - mse: 268444768.0000\n","Epoch 491/500\n","14/14 [==============================] - 0s 1ms/step - loss: 268508192.0000 - mse: 268508192.0000\n","Epoch 492/500\n","14/14 [==============================] - 0s 1ms/step - loss: 268345456.0000 - mse: 268345456.0000\n","Epoch 493/500\n","14/14 [==============================] - 0s 1ms/step - loss: 268277088.0000 - mse: 268277088.0000\n","Epoch 494/500\n","14/14 [==============================] - 0s 1ms/step - loss: 268156480.0000 - mse: 268156480.0000\n","Epoch 495/500\n","14/14 [==============================] - 0s 1ms/step - loss: 268118880.0000 - mse: 268118880.0000\n","Epoch 496/500\n","14/14 [==============================] - 0s 1ms/step - loss: 267972048.0000 - mse: 267972048.0000\n","Epoch 497/500\n","14/14 [==============================] - 0s 1ms/step - loss: 267915568.0000 - mse: 267915568.0000\n","Epoch 498/500\n","14/14 [==============================] - 0s 2ms/step - loss: 267824928.0000 - mse: 267824928.0000\n","Epoch 499/500\n","14/14 [==============================] - 0s 1ms/step - loss: 267708656.0000 - mse: 267708656.0000\n","Epoch 500/500\n","14/14 [==============================] - 0s 1ms/step - loss: 267658592.0000 - mse: 267658592.0000\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["<tensorflow.python.keras.callbacks.History at 0x7f7eda53f400>"]},"metadata":{"tags":[]},"execution_count":224}]},{"cell_type":"code","metadata":{"id":"muCp4NAdf0Vo","executionInfo":{"status":"ok","timestamp":1601545375942,"user_tz":-330,"elapsed":30782,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"20b18d9d-0661-44c7-ae3a-7f003bbce5a2","colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":["\n","model.fit(x_train,y_train,epochs=500)"],"execution_count":225,"outputs":[{"output_type":"stream","text":["Epoch 1/500\n","14/14 [==============================] - 0s 2ms/step - loss: 267525728.0000 - mse: 267525728.0000\n","Epoch 2/500\n","14/14 [==============================] - 0s 1ms/step - loss: 267790736.0000 - mse: 267790736.0000\n","Epoch 3/500\n","14/14 [==============================] - 0s 1ms/step - loss: 267946832.0000 - mse: 267946832.0000\n","Epoch 4/500\n","14/14 [==============================] - 0s 2ms/step - loss: 267260784.0000 - mse: 267260784.0000\n","Epoch 5/500\n","14/14 [==============================] - 0s 1ms/step - loss: 267197040.0000 - mse: 267197040.0000\n","Epoch 6/500\n","14/14 [==============================] - 0s 1ms/step - loss: 267089504.0000 - mse: 267089504.0000\n","Epoch 7/500\n","14/14 [==============================] - 0s 1ms/step - loss: 267102176.0000 - mse: 267102176.0000\n","Epoch 8/500\n","14/14 [==============================] - 0s 2ms/step - loss: 267004352.0000 - mse: 267004352.0000\n","Epoch 9/500\n","14/14 [==============================] - 0s 2ms/step - loss: 266888048.0000 - mse: 266888048.0000\n","Epoch 10/500\n","14/14 [==============================] - 0s 2ms/step - loss: 266998960.0000 - mse: 266998960.0000\n","Epoch 11/500\n","14/14 [==============================] - 0s 2ms/step - loss: 266799888.0000 - mse: 266799888.0000\n","Epoch 12/500\n","14/14 [==============================] - 0s 2ms/step - loss: 266641920.0000 - mse: 266641920.0000\n","Epoch 13/500\n","14/14 [==============================] - 0s 2ms/step - loss: 266639232.0000 - mse: 266639232.0000\n","Epoch 14/500\n","14/14 [==============================] - 0s 2ms/step - loss: 266483792.0000 - mse: 266483792.0000\n","Epoch 15/500\n","14/14 [==============================] - 0s 1ms/step - loss: 266519072.0000 - mse: 266519072.0000\n","Epoch 16/500\n","14/14 [==============================] - 0s 2ms/step - loss: 266461504.0000 - mse: 266461504.0000\n","Epoch 17/500\n","14/14 [==============================] - 0s 2ms/step - loss: 266364496.0000 - mse: 266364496.0000\n","Epoch 18/500\n","14/14 [==============================] - 0s 2ms/step - loss: 266327008.0000 - mse: 266327008.0000\n","Epoch 19/500\n","14/14 [==============================] - 0s 2ms/step - loss: 266041328.0000 - mse: 266041328.0000\n","Epoch 20/500\n","14/14 [==============================] - 0s 2ms/step - loss: 266007216.0000 - mse: 266007216.0000\n","Epoch 21/500\n","14/14 [==============================] - 0s 1ms/step - loss: 265862368.0000 - mse: 265862368.0000\n","Epoch 22/500\n","14/14 [==============================] - 0s 2ms/step - loss: 265874128.0000 - mse: 265874128.0000\n","Epoch 23/500\n","14/14 [==============================] - 0s 2ms/step - loss: 265977168.0000 - mse: 265977168.0000\n","Epoch 24/500\n","14/14 [==============================] - 0s 1ms/step - loss: 265645232.0000 - mse: 265645232.0000\n","Epoch 25/500\n","14/14 [==============================] - 0s 1ms/step - loss: 265772272.0000 - mse: 265772272.0000\n","Epoch 26/500\n","14/14 [==============================] - 0s 2ms/step - loss: 265656032.0000 - mse: 265656032.0000\n","Epoch 27/500\n","14/14 [==============================] - 0s 1ms/step - loss: 265436304.0000 - mse: 265436304.0000\n","Epoch 28/500\n","14/14 [==============================] - 0s 2ms/step - loss: 265363312.0000 - mse: 265363312.0000\n","Epoch 29/500\n","14/14 [==============================] - 0s 1ms/step - loss: 265402832.0000 - mse: 265402832.0000\n","Epoch 30/500\n","14/14 [==============================] - 0s 2ms/step - loss: 265230704.0000 - mse: 265230704.0000\n","Epoch 31/500\n","14/14 [==============================] - 0s 2ms/step - loss: 265104528.0000 - mse: 265104528.0000\n","Epoch 32/500\n","14/14 [==============================] - 0s 2ms/step - loss: 265044832.0000 - mse: 265044832.0000\n","Epoch 33/500\n","14/14 [==============================] - 0s 2ms/step - loss: 265004560.0000 - mse: 265004560.0000\n","Epoch 34/500\n","14/14 [==============================] - 0s 1ms/step - loss: 264888976.0000 - mse: 264888976.0000\n","Epoch 35/500\n","14/14 [==============================] - 0s 1ms/step - loss: 264764048.0000 - mse: 264764048.0000\n","Epoch 36/500\n","14/14 [==============================] - 0s 1ms/step - loss: 264714336.0000 - mse: 264714336.0000\n","Epoch 37/500\n","14/14 [==============================] - 0s 1ms/step - loss: 264616336.0000 - mse: 264616336.0000\n","Epoch 38/500\n","14/14 [==============================] - 0s 1ms/step - loss: 264774464.0000 - mse: 264774464.0000\n","Epoch 39/500\n","14/14 [==============================] - 0s 1ms/step - loss: 264495568.0000 - mse: 264495568.0000\n","Epoch 40/500\n","14/14 [==============================] - 0s 1ms/step - loss: 264379376.0000 - mse: 264379376.0000\n","Epoch 41/500\n","14/14 [==============================] - 0s 2ms/step - loss: 264362832.0000 - mse: 264362832.0000\n","Epoch 42/500\n","14/14 [==============================] - 0s 2ms/step - loss: 264398416.0000 - mse: 264398416.0000\n","Epoch 43/500\n","14/14 [==============================] - 0s 1ms/step - loss: 264256288.0000 - mse: 264256288.0000\n","Epoch 44/500\n","14/14 [==============================] - 0s 2ms/step - loss: 264081584.0000 - mse: 264081584.0000\n","Epoch 45/500\n","14/14 [==============================] - 0s 2ms/step - loss: 264053104.0000 - mse: 264053104.0000\n","Epoch 46/500\n","14/14 [==============================] - 0s 2ms/step - loss: 264019392.0000 - mse: 264019392.0000\n","Epoch 47/500\n","14/14 [==============================] - 0s 1ms/step - loss: 263970352.0000 - mse: 263970352.0000\n","Epoch 48/500\n","14/14 [==============================] - 0s 1ms/step - loss: 263801152.0000 - mse: 263801152.0000\n","Epoch 49/500\n","14/14 [==============================] - 0s 2ms/step - loss: 263905408.0000 - mse: 263905408.0000\n","Epoch 50/500\n","14/14 [==============================] - 0s 1ms/step - loss: 263739904.0000 - mse: 263739904.0000\n","Epoch 51/500\n","14/14 [==============================] - 0s 1ms/step - loss: 263636640.0000 - mse: 263636640.0000\n","Epoch 52/500\n","14/14 [==============================] - 0s 2ms/step - loss: 263553248.0000 - mse: 263553248.0000\n","Epoch 53/500\n","14/14 [==============================] - 0s 2ms/step - loss: 263494048.0000 - mse: 263494048.0000\n","Epoch 54/500\n","14/14 [==============================] - 0s 1ms/step - loss: 263452672.0000 - mse: 263452672.0000\n","Epoch 55/500\n","14/14 [==============================] - 0s 1ms/step - loss: 263348032.0000 - mse: 263348032.0000\n","Epoch 56/500\n","14/14 [==============================] - 0s 2ms/step - loss: 263225056.0000 - mse: 263225056.0000\n","Epoch 57/500\n","14/14 [==============================] - 0s 2ms/step - loss: 263136848.0000 - mse: 263136848.0000\n","Epoch 58/500\n","14/14 [==============================] - 0s 2ms/step - loss: 263110752.0000 - mse: 263110752.0000\n","Epoch 59/500\n","14/14 [==============================] - 0s 1ms/step - loss: 263091824.0000 - mse: 263091824.0000\n","Epoch 60/500\n","14/14 [==============================] - 0s 1ms/step - loss: 263014816.0000 - mse: 263014816.0000\n","Epoch 61/500\n","14/14 [==============================] - 0s 1ms/step - loss: 263127408.0000 - mse: 263127408.0000\n","Epoch 62/500\n","14/14 [==============================] - 0s 1ms/step - loss: 262833136.0000 - mse: 262833136.0000\n","Epoch 63/500\n","14/14 [==============================] - 0s 1ms/step - loss: 262749024.0000 - mse: 262749024.0000\n","Epoch 64/500\n","14/14 [==============================] - 0s 1ms/step - loss: 262807888.0000 - mse: 262807888.0000\n","Epoch 65/500\n","14/14 [==============================] - 0s 1ms/step - loss: 262552640.0000 - mse: 262552640.0000\n","Epoch 66/500\n","14/14 [==============================] - 0s 2ms/step - loss: 262777984.0000 - mse: 262777984.0000\n","Epoch 67/500\n","14/14 [==============================] - 0s 2ms/step - loss: 262432640.0000 - mse: 262432640.0000\n","Epoch 68/500\n","14/14 [==============================] - 0s 2ms/step - loss: 262503472.0000 - mse: 262503472.0000\n","Epoch 69/500\n","14/14 [==============================] - 0s 2ms/step - loss: 262331648.0000 - mse: 262331648.0000\n","Epoch 70/500\n","14/14 [==============================] - 0s 2ms/step - loss: 262256000.0000 - mse: 262256000.0000\n","Epoch 71/500\n","14/14 [==============================] - 0s 1ms/step - loss: 262133728.0000 - mse: 262133728.0000\n","Epoch 72/500\n","14/14 [==============================] - 0s 1ms/step - loss: 262053056.0000 - mse: 262053056.0000\n","Epoch 73/500\n","14/14 [==============================] - 0s 1ms/step - loss: 262043664.0000 - mse: 262043664.0000\n","Epoch 74/500\n","14/14 [==============================] - 0s 1ms/step - loss: 261958960.0000 - mse: 261958960.0000\n","Epoch 75/500\n","14/14 [==============================] - 0s 1ms/step - loss: 261894400.0000 - mse: 261894400.0000\n","Epoch 76/500\n","14/14 [==============================] - 0s 1ms/step - loss: 261786400.0000 - mse: 261786400.0000\n","Epoch 77/500\n","14/14 [==============================] - 0s 1ms/step - loss: 261800816.0000 - mse: 261800816.0000\n","Epoch 78/500\n","14/14 [==============================] - 0s 1ms/step - loss: 261635904.0000 - mse: 261635904.0000\n","Epoch 79/500\n","14/14 [==============================] - 0s 1ms/step - loss: 261565184.0000 - mse: 261565184.0000\n","Epoch 80/500\n","14/14 [==============================] - 0s 2ms/step - loss: 261486016.0000 - mse: 261486016.0000\n","Epoch 81/500\n","14/14 [==============================] - 0s 2ms/step - loss: 261433312.0000 - mse: 261433312.0000\n","Epoch 82/500\n","14/14 [==============================] - 0s 2ms/step - loss: 261410256.0000 - mse: 261410256.0000\n","Epoch 83/500\n","14/14 [==============================] - 0s 2ms/step - loss: 261398752.0000 - mse: 261398752.0000\n","Epoch 84/500\n","14/14 [==============================] - 0s 2ms/step - loss: 261206992.0000 - mse: 261206992.0000\n","Epoch 85/500\n","14/14 [==============================] - 0s 2ms/step - loss: 261179520.0000 - mse: 261179520.0000\n","Epoch 86/500\n","14/14 [==============================] - 0s 2ms/step - loss: 261142432.0000 - mse: 261142432.0000\n","Epoch 87/500\n","14/14 [==============================] - 0s 1ms/step - loss: 261090720.0000 - mse: 261090720.0000\n","Epoch 88/500\n","14/14 [==============================] - 0s 2ms/step - loss: 260945040.0000 - mse: 260945040.0000\n","Epoch 89/500\n","14/14 [==============================] - 0s 2ms/step - loss: 260923600.0000 - mse: 260923600.0000\n","Epoch 90/500\n","14/14 [==============================] - 0s 2ms/step - loss: 260816480.0000 - mse: 260816480.0000\n","Epoch 91/500\n","14/14 [==============================] - 0s 2ms/step - loss: 260759376.0000 - mse: 260759376.0000\n","Epoch 92/500\n","14/14 [==============================] - 0s 2ms/step - loss: 260762896.0000 - mse: 260762896.0000\n","Epoch 93/500\n","14/14 [==============================] - 0s 3ms/step - loss: 260633408.0000 - mse: 260633408.0000\n","Epoch 94/500\n","14/14 [==============================] - 0s 2ms/step - loss: 260555536.0000 - mse: 260555536.0000\n","Epoch 95/500\n","14/14 [==============================] - 0s 2ms/step - loss: 260527952.0000 - mse: 260527952.0000\n","Epoch 96/500\n","14/14 [==============================] - 0s 1ms/step - loss: 260393632.0000 - mse: 260393632.0000\n","Epoch 97/500\n","14/14 [==============================] - 0s 1ms/step - loss: 260364960.0000 - mse: 260364960.0000\n","Epoch 98/500\n","14/14 [==============================] - 0s 2ms/step - loss: 260294720.0000 - mse: 260294720.0000\n","Epoch 99/500\n","14/14 [==============================] - 0s 1ms/step - loss: 260230640.0000 - mse: 260230640.0000\n","Epoch 100/500\n","14/14 [==============================] - 0s 2ms/step - loss: 260189520.0000 - mse: 260189520.0000\n","Epoch 101/500\n","14/14 [==============================] - 0s 1ms/step - loss: 260078640.0000 - mse: 260078640.0000\n","Epoch 102/500\n","14/14 [==============================] - 0s 2ms/step - loss: 260031760.0000 - mse: 260031760.0000\n","Epoch 103/500\n","14/14 [==============================] - 0s 2ms/step - loss: 259998848.0000 - mse: 259998848.0000\n","Epoch 104/500\n","14/14 [==============================] - 0s 1ms/step - loss: 259897792.0000 - mse: 259897792.0000\n","Epoch 105/500\n","14/14 [==============================] - 0s 1ms/step - loss: 260014704.0000 - mse: 260014704.0000\n","Epoch 106/500\n","14/14 [==============================] - 0s 1ms/step - loss: 259761136.0000 - mse: 259761136.0000\n","Epoch 107/500\n","14/14 [==============================] - 0s 1ms/step - loss: 259782224.0000 - mse: 259782224.0000\n","Epoch 108/500\n","14/14 [==============================] - 0s 2ms/step - loss: 259661920.0000 - mse: 259661920.0000\n","Epoch 109/500\n","14/14 [==============================] - 0s 2ms/step - loss: 259642832.0000 - mse: 259642832.0000\n","Epoch 110/500\n","14/14 [==============================] - 0s 1ms/step - loss: 259597456.0000 - mse: 259597456.0000\n","Epoch 111/500\n","14/14 [==============================] - 0s 1ms/step - loss: 259568064.0000 - mse: 259568064.0000\n","Epoch 112/500\n","14/14 [==============================] - 0s 1ms/step - loss: 259473168.0000 - mse: 259473168.0000\n","Epoch 113/500\n","14/14 [==============================] - 0s 1ms/step - loss: 259393680.0000 - mse: 259393680.0000\n","Epoch 114/500\n","14/14 [==============================] - 0s 1ms/step - loss: 259336000.0000 - mse: 259336000.0000\n","Epoch 115/500\n","14/14 [==============================] - 0s 1ms/step - loss: 259270976.0000 - mse: 259270976.0000\n","Epoch 116/500\n","14/14 [==============================] - 0s 2ms/step - loss: 259157680.0000 - mse: 259157680.0000\n","Epoch 117/500\n","14/14 [==============================] - 0s 1ms/step - loss: 259226784.0000 - mse: 259226784.0000\n","Epoch 118/500\n","14/14 [==============================] - 0s 1ms/step - loss: 259088064.0000 - mse: 259088064.0000\n","Epoch 119/500\n","14/14 [==============================] - 0s 1ms/step - loss: 258957840.0000 - mse: 258957840.0000\n","Epoch 120/500\n","14/14 [==============================] - 0s 1ms/step - loss: 258897488.0000 - mse: 258897488.0000\n","Epoch 121/500\n","14/14 [==============================] - 0s 2ms/step - loss: 258830304.0000 - mse: 258830304.0000\n","Epoch 122/500\n","14/14 [==============================] - 0s 2ms/step - loss: 258844544.0000 - mse: 258844544.0000\n","Epoch 123/500\n","14/14 [==============================] - 0s 2ms/step - loss: 258723056.0000 - mse: 258723056.0000\n","Epoch 124/500\n","14/14 [==============================] - 0s 1ms/step - loss: 258676240.0000 - mse: 258676240.0000\n","Epoch 125/500\n","14/14 [==============================] - 0s 1ms/step - loss: 258561584.0000 - mse: 258561584.0000\n","Epoch 126/500\n","14/14 [==============================] - 0s 1ms/step - loss: 258561408.0000 - mse: 258561408.0000\n","Epoch 127/500\n","14/14 [==============================] - 0s 1ms/step - loss: 258396096.0000 - mse: 258396096.0000\n","Epoch 128/500\n","14/14 [==============================] - 0s 1ms/step - loss: 258359952.0000 - mse: 258359952.0000\n","Epoch 129/500\n","14/14 [==============================] - 0s 1ms/step - loss: 258332416.0000 - mse: 258332416.0000\n","Epoch 130/500\n","14/14 [==============================] - 0s 1ms/step - loss: 258413872.0000 - mse: 258413872.0000\n","Epoch 131/500\n","14/14 [==============================] - 0s 2ms/step - loss: 258201344.0000 - mse: 258201344.0000\n","Epoch 132/500\n","14/14 [==============================] - 0s 1ms/step - loss: 258198272.0000 - mse: 258198272.0000\n","Epoch 133/500\n","14/14 [==============================] - 0s 1ms/step - loss: 258050880.0000 - mse: 258050880.0000\n","Epoch 134/500\n","14/14 [==============================] - 0s 1ms/step - loss: 258005712.0000 - mse: 258005712.0000\n","Epoch 135/500\n","14/14 [==============================] - 0s 1ms/step - loss: 257955936.0000 - mse: 257955936.0000\n","Epoch 136/500\n","14/14 [==============================] - 0s 2ms/step - loss: 257884736.0000 - mse: 257884736.0000\n","Epoch 137/500\n","14/14 [==============================] - 0s 2ms/step - loss: 257823840.0000 - mse: 257823840.0000\n","Epoch 138/500\n","14/14 [==============================] - 0s 1ms/step - loss: 257746000.0000 - mse: 257746000.0000\n","Epoch 139/500\n","14/14 [==============================] - 0s 1ms/step - loss: 257738944.0000 - mse: 257738944.0000\n","Epoch 140/500\n","14/14 [==============================] - 0s 1ms/step - loss: 257595472.0000 - mse: 257595472.0000\n","Epoch 141/500\n","14/14 [==============================] - 0s 2ms/step - loss: 257593664.0000 - mse: 257593664.0000\n","Epoch 142/500\n","14/14 [==============================] - 0s 1ms/step - loss: 257649584.0000 - mse: 257649584.0000\n","Epoch 143/500\n","14/14 [==============================] - 0s 2ms/step - loss: 257498064.0000 - mse: 257498064.0000\n","Epoch 144/500\n","14/14 [==============================] - 0s 2ms/step - loss: 257336976.0000 - mse: 257336976.0000\n","Epoch 145/500\n","14/14 [==============================] - 0s 2ms/step - loss: 257330688.0000 - mse: 257330688.0000\n","Epoch 146/500\n","14/14 [==============================] - 0s 2ms/step - loss: 257293440.0000 - mse: 257293440.0000\n","Epoch 147/500\n","14/14 [==============================] - 0s 2ms/step - loss: 257176736.0000 - mse: 257176736.0000\n","Epoch 148/500\n","14/14 [==============================] - 0s 2ms/step - loss: 257124336.0000 - mse: 257124336.0000\n","Epoch 149/500\n","14/14 [==============================] - 0s 1ms/step - loss: 257227264.0000 - mse: 257227264.0000\n","Epoch 150/500\n","14/14 [==============================] - 0s 2ms/step - loss: 257068224.0000 - mse: 257068224.0000\n","Epoch 151/500\n","14/14 [==============================] - 0s 2ms/step - loss: 257174240.0000 - mse: 257174240.0000\n","Epoch 152/500\n","14/14 [==============================] - 0s 2ms/step - loss: 256850928.0000 - mse: 256850928.0000\n","Epoch 153/500\n","14/14 [==============================] - 0s 2ms/step - loss: 256847648.0000 - mse: 256847648.0000\n","Epoch 154/500\n","14/14 [==============================] - 0s 2ms/step - loss: 256799472.0000 - mse: 256799472.0000\n","Epoch 155/500\n","14/14 [==============================] - 0s 1ms/step - loss: 256702864.0000 - mse: 256702864.0000\n","Epoch 156/500\n","14/14 [==============================] - 0s 1ms/step - loss: 256642768.0000 - mse: 256642768.0000\n","Epoch 157/500\n","14/14 [==============================] - 0s 2ms/step - loss: 257064096.0000 - mse: 257064096.0000\n","Epoch 158/500\n","14/14 [==============================] - 0s 2ms/step - loss: 256668656.0000 - mse: 256668656.0000\n","Epoch 159/500\n","14/14 [==============================] - 0s 2ms/step - loss: 256471968.0000 - mse: 256471968.0000\n","Epoch 160/500\n","14/14 [==============================] - 0s 2ms/step - loss: 256620032.0000 - mse: 256620032.0000\n","Epoch 161/500\n","14/14 [==============================] - 0s 1ms/step - loss: 256342800.0000 - mse: 256342800.0000\n","Epoch 162/500\n","14/14 [==============================] - 0s 1ms/step - loss: 256282080.0000 - mse: 256282080.0000\n","Epoch 163/500\n","14/14 [==============================] - 0s 1ms/step - loss: 256360224.0000 - mse: 256360224.0000\n","Epoch 164/500\n","14/14 [==============================] - 0s 1ms/step - loss: 256237440.0000 - mse: 256237440.0000\n","Epoch 165/500\n","14/14 [==============================] - 0s 2ms/step - loss: 256127584.0000 - mse: 256127584.0000\n","Epoch 166/500\n","14/14 [==============================] - 0s 2ms/step - loss: 256052304.0000 - mse: 256052304.0000\n","Epoch 167/500\n","14/14 [==============================] - 0s 2ms/step - loss: 255977120.0000 - mse: 255977120.0000\n","Epoch 168/500\n","14/14 [==============================] - 0s 1ms/step - loss: 255945648.0000 - mse: 255945648.0000\n","Epoch 169/500\n","14/14 [==============================] - 0s 1ms/step - loss: 255885840.0000 - mse: 255885840.0000\n","Epoch 170/500\n","14/14 [==============================] - 0s 2ms/step - loss: 255905376.0000 - mse: 255905376.0000\n","Epoch 171/500\n","14/14 [==============================] - 0s 2ms/step - loss: 255771904.0000 - mse: 255771904.0000\n","Epoch 172/500\n","14/14 [==============================] - 0s 1ms/step - loss: 255704368.0000 - mse: 255704368.0000\n","Epoch 173/500\n","14/14 [==============================] - 0s 2ms/step - loss: 255676208.0000 - mse: 255676208.0000\n","Epoch 174/500\n","14/14 [==============================] - 0s 2ms/step - loss: 255662736.0000 - mse: 255662736.0000\n","Epoch 175/500\n","14/14 [==============================] - 0s 2ms/step - loss: 255665600.0000 - mse: 255665600.0000\n","Epoch 176/500\n","14/14 [==============================] - 0s 1ms/step - loss: 255531616.0000 - mse: 255531616.0000\n","Epoch 177/500\n","14/14 [==============================] - 0s 1ms/step - loss: 255448624.0000 - mse: 255448624.0000\n","Epoch 178/500\n","14/14 [==============================] - 0s 1ms/step - loss: 255440768.0000 - mse: 255440768.0000\n","Epoch 179/500\n","14/14 [==============================] - 0s 1ms/step - loss: 255340848.0000 - mse: 255340848.0000\n","Epoch 180/500\n","14/14 [==============================] - 0s 1ms/step - loss: 255445520.0000 - mse: 255445520.0000\n","Epoch 181/500\n","14/14 [==============================] - 0s 2ms/step - loss: 255251856.0000 - mse: 255251856.0000\n","Epoch 182/500\n","14/14 [==============================] - 0s 2ms/step - loss: 255174880.0000 - mse: 255174880.0000\n","Epoch 183/500\n","14/14 [==============================] - 0s 2ms/step - loss: 255151296.0000 - mse: 255151296.0000\n","Epoch 184/500\n","14/14 [==============================] - 0s 1ms/step - loss: 255103536.0000 - mse: 255103536.0000\n","Epoch 185/500\n","14/14 [==============================] - 0s 1ms/step - loss: 255014160.0000 - mse: 255014160.0000\n","Epoch 186/500\n","14/14 [==============================] - 0s 1ms/step - loss: 254936288.0000 - mse: 254936288.0000\n","Epoch 187/500\n","14/14 [==============================] - 0s 1ms/step - loss: 254948048.0000 - mse: 254948048.0000\n","Epoch 188/500\n","14/14 [==============================] - 0s 1ms/step - loss: 254984448.0000 - mse: 254984448.0000\n","Epoch 189/500\n","14/14 [==============================] - 0s 1ms/step - loss: 254768080.0000 - mse: 254768080.0000\n","Epoch 190/500\n","14/14 [==============================] - 0s 1ms/step - loss: 254679664.0000 - mse: 254679664.0000\n","Epoch 191/500\n","14/14 [==============================] - 0s 2ms/step - loss: 254681216.0000 - mse: 254681216.0000\n","Epoch 192/500\n","14/14 [==============================] - 0s 2ms/step - loss: 254772576.0000 - mse: 254772576.0000\n","Epoch 193/500\n","14/14 [==============================] - 0s 1ms/step - loss: 254751552.0000 - mse: 254751552.0000\n","Epoch 194/500\n","14/14 [==============================] - 0s 1ms/step - loss: 254486512.0000 - mse: 254486512.0000\n","Epoch 195/500\n","14/14 [==============================] - 0s 2ms/step - loss: 254448976.0000 - mse: 254448976.0000\n","Epoch 196/500\n","14/14 [==============================] - 0s 2ms/step - loss: 254441872.0000 - mse: 254441872.0000\n","Epoch 197/500\n","14/14 [==============================] - 0s 1ms/step - loss: 254384560.0000 - mse: 254384560.0000\n","Epoch 198/500\n","14/14 [==============================] - 0s 2ms/step - loss: 254314736.0000 - mse: 254314736.0000\n","Epoch 199/500\n","14/14 [==============================] - 0s 2ms/step - loss: 254368960.0000 - mse: 254368960.0000\n","Epoch 200/500\n","14/14 [==============================] - 0s 1ms/step - loss: 254162016.0000 - mse: 254162016.0000\n","Epoch 201/500\n","14/14 [==============================] - 0s 2ms/step - loss: 254163472.0000 - mse: 254163472.0000\n","Epoch 202/500\n","14/14 [==============================] - 0s 1ms/step - loss: 254041984.0000 - mse: 254041984.0000\n","Epoch 203/500\n","14/14 [==============================] - 0s 1ms/step - loss: 254200576.0000 - mse: 254200576.0000\n","Epoch 204/500\n","14/14 [==============================] - 0s 1ms/step - loss: 253920416.0000 - mse: 253920416.0000\n","Epoch 205/500\n","14/14 [==============================] - 0s 2ms/step - loss: 253934400.0000 - mse: 253934400.0000\n","Epoch 206/500\n","14/14 [==============================] - 0s 1ms/step - loss: 253826944.0000 - mse: 253826944.0000\n","Epoch 207/500\n","14/14 [==============================] - 0s 2ms/step - loss: 253772624.0000 - mse: 253772624.0000\n","Epoch 208/500\n","14/14 [==============================] - 0s 2ms/step - loss: 253761552.0000 - mse: 253761552.0000\n","Epoch 209/500\n","14/14 [==============================] - 0s 2ms/step - loss: 253671760.0000 - mse: 253671760.0000\n","Epoch 210/500\n","14/14 [==============================] - 0s 1ms/step - loss: 253589280.0000 - mse: 253589280.0000\n","Epoch 211/500\n","14/14 [==============================] - 0s 1ms/step - loss: 253636864.0000 - mse: 253636864.0000\n","Epoch 212/500\n","14/14 [==============================] - 0s 1ms/step - loss: 253556048.0000 - mse: 253556048.0000\n","Epoch 213/500\n","14/14 [==============================] - 0s 2ms/step - loss: 253511472.0000 - mse: 253511472.0000\n","Epoch 214/500\n","14/14 [==============================] - 0s 1ms/step - loss: 253457632.0000 - mse: 253457632.0000\n","Epoch 215/500\n","14/14 [==============================] - 0s 2ms/step - loss: 253424080.0000 - mse: 253424080.0000\n","Epoch 216/500\n","14/14 [==============================] - 0s 2ms/step - loss: 253355168.0000 - mse: 253355168.0000\n","Epoch 217/500\n","14/14 [==============================] - 0s 1ms/step - loss: 253252864.0000 - mse: 253252864.0000\n","Epoch 218/500\n","14/14 [==============================] - 0s 1ms/step - loss: 253167744.0000 - mse: 253167744.0000\n","Epoch 219/500\n","14/14 [==============================] - 0s 1ms/step - loss: 253213872.0000 - mse: 253213872.0000\n","Epoch 220/500\n","14/14 [==============================] - 0s 1ms/step - loss: 253085328.0000 - mse: 253085328.0000\n","Epoch 221/500\n","14/14 [==============================] - 0s 2ms/step - loss: 253169792.0000 - mse: 253169792.0000\n","Epoch 222/500\n","14/14 [==============================] - 0s 1ms/step - loss: 253038416.0000 - mse: 253038416.0000\n","Epoch 223/500\n","14/14 [==============================] - 0s 1ms/step - loss: 253000688.0000 - mse: 253000688.0000\n","Epoch 224/500\n","14/14 [==============================] - 0s 1ms/step - loss: 252884240.0000 - mse: 252884240.0000\n","Epoch 225/500\n","14/14 [==============================] - 0s 1ms/step - loss: 252879472.0000 - mse: 252879472.0000\n","Epoch 226/500\n","14/14 [==============================] - 0s 1ms/step - loss: 252777568.0000 - mse: 252777568.0000\n","Epoch 227/500\n","14/14 [==============================] - 0s 1ms/step - loss: 252740896.0000 - mse: 252740896.0000\n","Epoch 228/500\n","14/14 [==============================] - 0s 1ms/step - loss: 252694528.0000 - mse: 252694528.0000\n","Epoch 229/500\n","14/14 [==============================] - 0s 2ms/step - loss: 252618032.0000 - mse: 252618032.0000\n","Epoch 230/500\n","14/14 [==============================] - 0s 2ms/step - loss: 252657904.0000 - mse: 252657904.0000\n","Epoch 231/500\n","14/14 [==============================] - 0s 2ms/step - loss: 252514656.0000 - mse: 252514656.0000\n","Epoch 232/500\n","14/14 [==============================] - 0s 2ms/step - loss: 252500624.0000 - mse: 252500624.0000\n","Epoch 233/500\n","14/14 [==============================] - 0s 2ms/step - loss: 252544784.0000 - mse: 252544784.0000\n","Epoch 234/500\n","14/14 [==============================] - 0s 2ms/step - loss: 252478960.0000 - mse: 252478960.0000\n","Epoch 235/500\n","14/14 [==============================] - 0s 2ms/step - loss: 252329856.0000 - mse: 252329856.0000\n","Epoch 236/500\n","14/14 [==============================] - 0s 2ms/step - loss: 252293520.0000 - mse: 252293520.0000\n","Epoch 237/500\n","14/14 [==============================] - 0s 2ms/step - loss: 252265936.0000 - mse: 252265936.0000\n","Epoch 238/500\n","14/14 [==============================] - 0s 2ms/step - loss: 252223264.0000 - mse: 252223264.0000\n","Epoch 239/500\n","14/14 [==============================] - 0s 2ms/step - loss: 252333904.0000 - mse: 252333904.0000\n","Epoch 240/500\n","14/14 [==============================] - 0s 2ms/step - loss: 252185200.0000 - mse: 252185200.0000\n","Epoch 241/500\n","14/14 [==============================] - 0s 2ms/step - loss: 252079776.0000 - mse: 252079776.0000\n","Epoch 242/500\n","14/14 [==============================] - 0s 2ms/step - loss: 252041440.0000 - mse: 252041440.0000\n","Epoch 243/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251941728.0000 - mse: 251941728.0000\n","Epoch 244/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251950544.0000 - mse: 251950544.0000\n","Epoch 245/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251845344.0000 - mse: 251845344.0000\n","Epoch 246/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251785200.0000 - mse: 251785200.0000\n","Epoch 247/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251815952.0000 - mse: 251815952.0000\n","Epoch 248/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251645184.0000 - mse: 251645184.0000\n","Epoch 249/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251682784.0000 - mse: 251682784.0000\n","Epoch 250/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251566016.0000 - mse: 251566016.0000\n","Epoch 251/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251584928.0000 - mse: 251584928.0000\n","Epoch 252/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251584272.0000 - mse: 251584272.0000\n","Epoch 253/500\n","14/14 [==============================] - 0s 1ms/step - loss: 251641600.0000 - mse: 251641600.0000\n","Epoch 254/500\n","14/14 [==============================] - 0s 1ms/step - loss: 251419744.0000 - mse: 251419744.0000\n","Epoch 255/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251328496.0000 - mse: 251328496.0000\n","Epoch 256/500\n","14/14 [==============================] - 0s 1ms/step - loss: 251367312.0000 - mse: 251367312.0000\n","Epoch 257/500\n","14/14 [==============================] - 0s 1ms/step - loss: 251215008.0000 - mse: 251215008.0000\n","Epoch 258/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251186976.0000 - mse: 251186976.0000\n","Epoch 259/500\n","14/14 [==============================] - 0s 1ms/step - loss: 251224256.0000 - mse: 251224256.0000\n","Epoch 260/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251130528.0000 - mse: 251130528.0000\n","Epoch 261/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251049120.0000 - mse: 251049120.0000\n","Epoch 262/500\n","14/14 [==============================] - 0s 1ms/step - loss: 251266448.0000 - mse: 251266448.0000\n","Epoch 263/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250918928.0000 - mse: 250918928.0000\n","Epoch 264/500\n","14/14 [==============================] - 0s 1ms/step - loss: 251326880.0000 - mse: 251326880.0000\n","Epoch 265/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250900560.0000 - mse: 250900560.0000\n","Epoch 266/500\n","14/14 [==============================] - 0s 2ms/step - loss: 251057248.0000 - mse: 251057248.0000\n","Epoch 267/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250803872.0000 - mse: 250803872.0000\n","Epoch 268/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250737472.0000 - mse: 250737472.0000\n","Epoch 269/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250680928.0000 - mse: 250680928.0000\n","Epoch 270/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250707856.0000 - mse: 250707856.0000\n","Epoch 271/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250572816.0000 - mse: 250572816.0000\n","Epoch 272/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250517936.0000 - mse: 250517936.0000\n","Epoch 273/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250565920.0000 - mse: 250565920.0000\n","Epoch 274/500\n","14/14 [==============================] - 0s 1ms/step - loss: 250412608.0000 - mse: 250412608.0000\n","Epoch 275/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250422032.0000 - mse: 250422032.0000\n","Epoch 276/500\n","14/14 [==============================] - 0s 1ms/step - loss: 250397424.0000 - mse: 250397424.0000\n","Epoch 277/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250331392.0000 - mse: 250331392.0000\n","Epoch 278/500\n","14/14 [==============================] - 0s 1ms/step - loss: 250296528.0000 - mse: 250296544.0000\n","Epoch 279/500\n","14/14 [==============================] - 0s 1ms/step - loss: 250234112.0000 - mse: 250234112.0000\n","Epoch 280/500\n","14/14 [==============================] - 0s 1ms/step - loss: 250177088.0000 - mse: 250177088.0000\n","Epoch 281/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250115968.0000 - mse: 250115968.0000\n","Epoch 282/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250099040.0000 - mse: 250099040.0000\n","Epoch 283/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250284496.0000 - mse: 250284496.0000\n","Epoch 284/500\n","14/14 [==============================] - 0s 1ms/step - loss: 250469792.0000 - mse: 250469792.0000\n","Epoch 285/500\n","14/14 [==============================] - 0s 1ms/step - loss: 250035504.0000 - mse: 250035504.0000\n","Epoch 286/500\n","14/14 [==============================] - 0s 2ms/step - loss: 250081696.0000 - mse: 250081696.0000\n","Epoch 287/500\n","14/14 [==============================] - 0s 2ms/step - loss: 249863840.0000 - mse: 249863840.0000\n","Epoch 288/500\n","14/14 [==============================] - 0s 2ms/step - loss: 249837648.0000 - mse: 249837648.0000\n","Epoch 289/500\n","14/14 [==============================] - 0s 1ms/step - loss: 249766432.0000 - mse: 249766432.0000\n","Epoch 290/500\n","14/14 [==============================] - 0s 1ms/step - loss: 249722032.0000 - mse: 249722032.0000\n","Epoch 291/500\n","14/14 [==============================] - 0s 1ms/step - loss: 249673936.0000 - mse: 249673936.0000\n","Epoch 292/500\n","14/14 [==============================] - 0s 1ms/step - loss: 249722672.0000 - mse: 249722672.0000\n","Epoch 293/500\n","14/14 [==============================] - 0s 1ms/step - loss: 249554176.0000 - mse: 249554176.0000\n","Epoch 294/500\n","14/14 [==============================] - 0s 2ms/step - loss: 249638848.0000 - mse: 249638848.0000\n","Epoch 295/500\n","14/14 [==============================] - 0s 2ms/step - loss: 249475488.0000 - mse: 249475488.0000\n","Epoch 296/500\n","14/14 [==============================] - 0s 2ms/step - loss: 249499584.0000 - mse: 249499584.0000\n","Epoch 297/500\n","14/14 [==============================] - 0s 1ms/step - loss: 249642176.0000 - mse: 249642176.0000\n","Epoch 298/500\n","14/14 [==============================] - 0s 2ms/step - loss: 249468496.0000 - mse: 249468496.0000\n","Epoch 299/500\n","14/14 [==============================] - 0s 2ms/step - loss: 249440832.0000 - mse: 249440832.0000\n","Epoch 300/500\n","14/14 [==============================] - 0s 2ms/step - loss: 249381792.0000 - mse: 249381792.0000\n","Epoch 301/500\n","14/14 [==============================] - 0s 2ms/step - loss: 249318752.0000 - mse: 249318752.0000\n","Epoch 302/500\n","14/14 [==============================] - 0s 2ms/step - loss: 249240848.0000 - mse: 249240848.0000\n","Epoch 303/500\n","14/14 [==============================] - 0s 2ms/step - loss: 249165936.0000 - mse: 249165936.0000\n","Epoch 304/500\n","14/14 [==============================] - 0s 2ms/step - loss: 249113248.0000 - mse: 249113248.0000\n","Epoch 305/500\n","14/14 [==============================] - 0s 2ms/step - loss: 249086896.0000 - mse: 249086896.0000\n","Epoch 306/500\n","14/14 [==============================] - 0s 1ms/step - loss: 249111920.0000 - mse: 249111920.0000\n","Epoch 307/500\n","14/14 [==============================] - 0s 1ms/step - loss: 249035440.0000 - mse: 249035440.0000\n","Epoch 308/500\n","14/14 [==============================] - 0s 1ms/step - loss: 248969792.0000 - mse: 248969792.0000\n","Epoch 309/500\n","14/14 [==============================] - 0s 2ms/step - loss: 248912736.0000 - mse: 248912736.0000\n","Epoch 310/500\n","14/14 [==============================] - 0s 2ms/step - loss: 248966400.0000 - mse: 248966400.0000\n","Epoch 311/500\n","14/14 [==============================] - 0s 1ms/step - loss: 248836960.0000 - mse: 248836944.0000\n","Epoch 312/500\n","14/14 [==============================] - 0s 2ms/step - loss: 248944832.0000 - mse: 248944832.0000\n","Epoch 313/500\n","14/14 [==============================] - 0s 2ms/step - loss: 248839952.0000 - mse: 248839952.0000\n","Epoch 314/500\n","14/14 [==============================] - 0s 2ms/step - loss: 248685808.0000 - mse: 248685808.0000\n","Epoch 315/500\n","14/14 [==============================] - 0s 2ms/step - loss: 248691376.0000 - mse: 248691360.0000\n","Epoch 316/500\n","14/14 [==============================] - 0s 1ms/step - loss: 248628384.0000 - mse: 248628384.0000\n","Epoch 317/500\n","14/14 [==============================] - 0s 2ms/step - loss: 248561248.0000 - mse: 248561248.0000\n","Epoch 318/500\n","14/14 [==============================] - 0s 2ms/step - loss: 248589488.0000 - mse: 248589488.0000\n","Epoch 319/500\n","14/14 [==============================] - 0s 2ms/step - loss: 248664368.0000 - mse: 248664368.0000\n","Epoch 320/500\n","14/14 [==============================] - 0s 1ms/step - loss: 248445504.0000 - mse: 248445504.0000\n","Epoch 321/500\n","14/14 [==============================] - 0s 2ms/step - loss: 248439712.0000 - mse: 248439712.0000\n","Epoch 322/500\n","14/14 [==============================] - 0s 1ms/step - loss: 248344016.0000 - mse: 248344016.0000\n","Epoch 323/500\n","14/14 [==============================] - 0s 1ms/step - loss: 248376992.0000 - mse: 248376992.0000\n","Epoch 324/500\n","14/14 [==============================] - 0s 1ms/step - loss: 248471152.0000 - mse: 248471152.0000\n","Epoch 325/500\n","14/14 [==============================] - 0s 1ms/step - loss: 248210384.0000 - mse: 248210384.0000\n","Epoch 326/500\n","14/14 [==============================] - 0s 2ms/step - loss: 248287568.0000 - mse: 248287568.0000\n","Epoch 327/500\n","14/14 [==============================] - 0s 1ms/step - loss: 248131232.0000 - mse: 248131232.0000\n","Epoch 328/500\n","14/14 [==============================] - 0s 2ms/step - loss: 248112000.0000 - mse: 248112000.0000\n","Epoch 329/500\n","14/14 [==============================] - 0s 1ms/step - loss: 248174688.0000 - mse: 248174688.0000\n","Epoch 330/500\n","14/14 [==============================] - 0s 1ms/step - loss: 248101760.0000 - mse: 248101760.0000\n","Epoch 331/500\n","14/14 [==============================] - 0s 1ms/step - loss: 248081008.0000 - mse: 248081008.0000\n","Epoch 332/500\n","14/14 [==============================] - 0s 1ms/step - loss: 248019024.0000 - mse: 248019024.0000\n","Epoch 333/500\n","14/14 [==============================] - 0s 1ms/step - loss: 247960944.0000 - mse: 247960944.0000\n","Epoch 334/500\n","14/14 [==============================] - 0s 1ms/step - loss: 247862512.0000 - mse: 247862512.0000\n","Epoch 335/500\n","14/14 [==============================] - 0s 1ms/step - loss: 247814112.0000 - mse: 247814112.0000\n","Epoch 336/500\n","14/14 [==============================] - 0s 2ms/step - loss: 247957088.0000 - mse: 247957088.0000\n","Epoch 337/500\n","14/14 [==============================] - 0s 1ms/step - loss: 247880400.0000 - mse: 247880400.0000\n","Epoch 338/500\n","14/14 [==============================] - 0s 2ms/step - loss: 247732976.0000 - mse: 247732976.0000\n","Epoch 339/500\n","14/14 [==============================] - 0s 1ms/step - loss: 247688528.0000 - mse: 247688528.0000\n","Epoch 340/500\n","14/14 [==============================] - 0s 2ms/step - loss: 247603488.0000 - mse: 247603488.0000\n","Epoch 341/500\n","14/14 [==============================] - 0s 2ms/step - loss: 247609600.0000 - mse: 247609600.0000\n","Epoch 342/500\n","14/14 [==============================] - 0s 1ms/step - loss: 247636400.0000 - mse: 247636400.0000\n","Epoch 343/500\n","14/14 [==============================] - 0s 2ms/step - loss: 247524944.0000 - mse: 247524944.0000\n","Epoch 344/500\n","14/14 [==============================] - 0s 1ms/step - loss: 247512688.0000 - mse: 247512688.0000\n","Epoch 345/500\n","14/14 [==============================] - 0s 1ms/step - loss: 247424368.0000 - mse: 247424368.0000\n","Epoch 346/500\n","14/14 [==============================] - 0s 1ms/step - loss: 247375552.0000 - mse: 247375552.0000\n","Epoch 347/500\n","14/14 [==============================] - 0s 1ms/step - loss: 247316080.0000 - mse: 247316080.0000\n","Epoch 348/500\n","14/14 [==============================] - 0s 1ms/step - loss: 247383280.0000 - mse: 247383280.0000\n","Epoch 349/500\n","14/14 [==============================] - 0s 2ms/step - loss: 247245216.0000 - mse: 247245216.0000\n","Epoch 350/500\n","14/14 [==============================] - 0s 1ms/step - loss: 247239280.0000 - mse: 247239280.0000\n","Epoch 351/500\n","14/14 [==============================] - 0s 1ms/step - loss: 247192096.0000 - mse: 247192096.0000\n","Epoch 352/500\n","14/14 [==============================] - 0s 2ms/step - loss: 247153760.0000 - mse: 247153760.0000\n","Epoch 353/500\n","14/14 [==============================] - 0s 2ms/step - loss: 247295392.0000 - mse: 247295392.0000\n","Epoch 354/500\n","14/14 [==============================] - 0s 2ms/step - loss: 247266912.0000 - mse: 247266912.0000\n","Epoch 355/500\n","14/14 [==============================] - 0s 2ms/step - loss: 247074016.0000 - mse: 247074016.0000\n","Epoch 356/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246994960.0000 - mse: 246994960.0000\n","Epoch 357/500\n","14/14 [==============================] - 0s 1ms/step - loss: 247030640.0000 - mse: 247030640.0000\n","Epoch 358/500\n","14/14 [==============================] - 0s 2ms/step - loss: 247070592.0000 - mse: 247070592.0000\n","Epoch 359/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246860464.0000 - mse: 246860464.0000\n","Epoch 360/500\n","14/14 [==============================] - 0s 1ms/step - loss: 246872896.0000 - mse: 246872896.0000\n","Epoch 361/500\n","14/14 [==============================] - 0s 1ms/step - loss: 246875488.0000 - mse: 246875488.0000\n","Epoch 362/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246821808.0000 - mse: 246821808.0000\n","Epoch 363/500\n","14/14 [==============================] - 0s 1ms/step - loss: 246780688.0000 - mse: 246780688.0000\n","Epoch 364/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246689232.0000 - mse: 246689232.0000\n","Epoch 365/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246789184.0000 - mse: 246789184.0000\n","Epoch 366/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246654512.0000 - mse: 246654512.0000\n","Epoch 367/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246769312.0000 - mse: 246769312.0000\n","Epoch 368/500\n","14/14 [==============================] - 0s 1ms/step - loss: 246560304.0000 - mse: 246560304.0000\n","Epoch 369/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246642352.0000 - mse: 246642352.0000\n","Epoch 370/500\n","14/14 [==============================] - 0s 1ms/step - loss: 246520320.0000 - mse: 246520320.0000\n","Epoch 371/500\n","14/14 [==============================] - 0s 1ms/step - loss: 246464368.0000 - mse: 246464368.0000\n","Epoch 372/500\n","14/14 [==============================] - 0s 1ms/step - loss: 246378416.0000 - mse: 246378416.0000\n","Epoch 373/500\n","14/14 [==============================] - 0s 1ms/step - loss: 246390480.0000 - mse: 246390480.0000\n","Epoch 374/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246331968.0000 - mse: 246331968.0000\n","Epoch 375/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246379872.0000 - mse: 246379872.0000\n","Epoch 376/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246287776.0000 - mse: 246287776.0000\n","Epoch 377/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246263808.0000 - mse: 246263808.0000\n","Epoch 378/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246255280.0000 - mse: 246255280.0000\n","Epoch 379/500\n","14/14 [==============================] - 0s 1ms/step - loss: 246314768.0000 - mse: 246314768.0000\n","Epoch 380/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246150528.0000 - mse: 246150528.0000\n","Epoch 381/500\n","14/14 [==============================] - 0s 1ms/step - loss: 246063136.0000 - mse: 246063136.0000\n","Epoch 382/500\n","14/14 [==============================] - 0s 1ms/step - loss: 246082176.0000 - mse: 246082176.0000\n","Epoch 383/500\n","14/14 [==============================] - 0s 2ms/step - loss: 246007888.0000 - mse: 246007888.0000\n","Epoch 384/500\n","14/14 [==============================] - 0s 1ms/step - loss: 246050144.0000 - mse: 246050144.0000\n","Epoch 385/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245968272.0000 - mse: 245968272.0000\n","Epoch 386/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245916656.0000 - mse: 245916656.0000\n","Epoch 387/500\n","14/14 [==============================] - 0s 1ms/step - loss: 245851280.0000 - mse: 245851280.0000\n","Epoch 388/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245831280.0000 - mse: 245831280.0000\n","Epoch 389/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245785648.0000 - mse: 245785648.0000\n","Epoch 390/500\n","14/14 [==============================] - 0s 1ms/step - loss: 245766128.0000 - mse: 245766128.0000\n","Epoch 391/500\n","14/14 [==============================] - 0s 1ms/step - loss: 245799376.0000 - mse: 245799376.0000\n","Epoch 392/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245670880.0000 - mse: 245670880.0000\n","Epoch 393/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245641024.0000 - mse: 245641024.0000\n","Epoch 394/500\n","14/14 [==============================] - 0s 1ms/step - loss: 245616128.0000 - mse: 245616128.0000\n","Epoch 395/500\n","14/14 [==============================] - 0s 1ms/step - loss: 245598560.0000 - mse: 245598560.0000\n","Epoch 396/500\n","14/14 [==============================] - 0s 1ms/step - loss: 245525552.0000 - mse: 245525552.0000\n","Epoch 397/500\n","14/14 [==============================] - 0s 1ms/step - loss: 245609280.0000 - mse: 245609280.0000\n","Epoch 398/500\n","14/14 [==============================] - 0s 1ms/step - loss: 245488240.0000 - mse: 245488240.0000\n","Epoch 399/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245456480.0000 - mse: 245456480.0000\n","Epoch 400/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245406448.0000 - mse: 245406448.0000\n","Epoch 401/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245356464.0000 - mse: 245356464.0000\n","Epoch 402/500\n","14/14 [==============================] - 0s 1ms/step - loss: 245466736.0000 - mse: 245466736.0000\n","Epoch 403/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245553680.0000 - mse: 245553680.0000\n","Epoch 404/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245322528.0000 - mse: 245322528.0000\n","Epoch 405/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245401520.0000 - mse: 245401520.0000\n","Epoch 406/500\n","14/14 [==============================] - 0s 1ms/step - loss: 245183632.0000 - mse: 245183632.0000\n","Epoch 407/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245150496.0000 - mse: 245150496.0000\n","Epoch 408/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245093712.0000 - mse: 245093712.0000\n","Epoch 409/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245091696.0000 - mse: 245091696.0000\n","Epoch 410/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245055120.0000 - mse: 245055120.0000\n","Epoch 411/500\n","14/14 [==============================] - 0s 2ms/step - loss: 245087184.0000 - mse: 245087184.0000\n","Epoch 412/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244947632.0000 - mse: 244947632.0000\n","Epoch 413/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244920608.0000 - mse: 244920608.0000\n","Epoch 414/500\n","14/14 [==============================] - 0s 1ms/step - loss: 244949680.0000 - mse: 244949680.0000\n","Epoch 415/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244989392.0000 - mse: 244989392.0000\n","Epoch 416/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244876064.0000 - mse: 244876064.0000\n","Epoch 417/500\n","14/14 [==============================] - 0s 1ms/step - loss: 244816192.0000 - mse: 244816192.0000\n","Epoch 418/500\n","14/14 [==============================] - 0s 1ms/step - loss: 244753936.0000 - mse: 244753936.0000\n","Epoch 419/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244739856.0000 - mse: 244739856.0000\n","Epoch 420/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244719840.0000 - mse: 244719840.0000\n","Epoch 421/500\n","14/14 [==============================] - 0s 3ms/step - loss: 244717024.0000 - mse: 244717024.0000\n","Epoch 422/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244661024.0000 - mse: 244661024.0000\n","Epoch 423/500\n","14/14 [==============================] - 0s 1ms/step - loss: 244620528.0000 - mse: 244620528.0000\n","Epoch 424/500\n","14/14 [==============================] - 0s 1ms/step - loss: 244557056.0000 - mse: 244557056.0000\n","Epoch 425/500\n","14/14 [==============================] - 0s 1ms/step - loss: 244555904.0000 - mse: 244555904.0000\n","Epoch 426/500\n","14/14 [==============================] - 0s 1ms/step - loss: 244513328.0000 - mse: 244513328.0000\n","Epoch 427/500\n","14/14 [==============================] - 0s 1ms/step - loss: 244452192.0000 - mse: 244452192.0000\n","Epoch 428/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244437408.0000 - mse: 244437408.0000\n","Epoch 429/500\n","14/14 [==============================] - 0s 1ms/step - loss: 244426688.0000 - mse: 244426688.0000\n","Epoch 430/500\n","14/14 [==============================] - 0s 1ms/step - loss: 244432832.0000 - mse: 244432832.0000\n","Epoch 431/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244450480.0000 - mse: 244450480.0000\n","Epoch 432/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244439040.0000 - mse: 244439040.0000\n","Epoch 433/500\n","14/14 [==============================] - 0s 1ms/step - loss: 244347536.0000 - mse: 244347536.0000\n","Epoch 434/500\n","14/14 [==============================] - 0s 1ms/step - loss: 244429744.0000 - mse: 244429744.0000\n","Epoch 435/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244300720.0000 - mse: 244300720.0000\n","Epoch 436/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244301520.0000 - mse: 244301520.0000\n","Epoch 437/500\n","14/14 [==============================] - 0s 1ms/step - loss: 244097312.0000 - mse: 244097312.0000\n","Epoch 438/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244126560.0000 - mse: 244126560.0000\n","Epoch 439/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244159296.0000 - mse: 244159296.0000\n","Epoch 440/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244040144.0000 - mse: 244040144.0000\n","Epoch 441/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244042144.0000 - mse: 244042144.0000\n","Epoch 442/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244013200.0000 - mse: 244013200.0000\n","Epoch 443/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243970544.0000 - mse: 243970544.0000\n","Epoch 444/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243931872.0000 - mse: 243931872.0000\n","Epoch 445/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243862896.0000 - mse: 243862896.0000\n","Epoch 446/500\n","14/14 [==============================] - 0s 2ms/step - loss: 244104992.0000 - mse: 244104992.0000\n","Epoch 447/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243955504.0000 - mse: 243955504.0000\n","Epoch 448/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243865952.0000 - mse: 243865952.0000\n","Epoch 449/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243730640.0000 - mse: 243730640.0000\n","Epoch 450/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243712736.0000 - mse: 243712736.0000\n","Epoch 451/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243757552.0000 - mse: 243757552.0000\n","Epoch 452/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243654000.0000 - mse: 243654000.0000\n","Epoch 453/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243815024.0000 - mse: 243815024.0000\n","Epoch 454/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243550608.0000 - mse: 243550608.0000\n","Epoch 455/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243667904.0000 - mse: 243667904.0000\n","Epoch 456/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243539440.0000 - mse: 243539440.0000\n","Epoch 457/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243572336.0000 - mse: 243572336.0000\n","Epoch 458/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243529760.0000 - mse: 243529760.0000\n","Epoch 459/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243411376.0000 - mse: 243411376.0000\n","Epoch 460/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243455984.0000 - mse: 243455984.0000\n","Epoch 461/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243360032.0000 - mse: 243360032.0000\n","Epoch 462/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243313248.0000 - mse: 243313248.0000\n","Epoch 463/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243379216.0000 - mse: 243379216.0000\n","Epoch 464/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243275856.0000 - mse: 243275856.0000\n","Epoch 465/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243240672.0000 - mse: 243240672.0000\n","Epoch 466/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243506160.0000 - mse: 243506160.0000\n","Epoch 467/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243173440.0000 - mse: 243173440.0000\n","Epoch 468/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243173344.0000 - mse: 243173344.0000\n","Epoch 469/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243196512.0000 - mse: 243196512.0000\n","Epoch 470/500\n","14/14 [==============================] - 0s 2ms/step - loss: 243058368.0000 - mse: 243058368.0000\n","Epoch 471/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243134800.0000 - mse: 243134800.0000\n","Epoch 472/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243079904.0000 - mse: 243079904.0000\n","Epoch 473/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243072656.0000 - mse: 243072656.0000\n","Epoch 474/500\n","14/14 [==============================] - 0s 2ms/step - loss: 242994192.0000 - mse: 242994192.0000\n","Epoch 475/500\n","14/14 [==============================] - 0s 1ms/step - loss: 243024080.0000 - mse: 243024080.0000\n","Epoch 476/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242913696.0000 - mse: 242913696.0000\n","Epoch 477/500\n","14/14 [==============================] - 0s 2ms/step - loss: 242893808.0000 - mse: 242893808.0000\n","Epoch 478/500\n","14/14 [==============================] - 0s 2ms/step - loss: 242912752.0000 - mse: 242912752.0000\n","Epoch 479/500\n","14/14 [==============================] - 0s 2ms/step - loss: 242851472.0000 - mse: 242851440.0000\n","Epoch 480/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242835776.0000 - mse: 242835776.0000\n","Epoch 481/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242802368.0000 - mse: 242802368.0000\n","Epoch 482/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242824928.0000 - mse: 242824928.0000\n","Epoch 483/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242688864.0000 - mse: 242688864.0000\n","Epoch 484/500\n","14/14 [==============================] - 0s 2ms/step - loss: 242694128.0000 - mse: 242694128.0000\n","Epoch 485/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242612528.0000 - mse: 242612528.0000\n","Epoch 486/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242625072.0000 - mse: 242625072.0000\n","Epoch 487/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242583648.0000 - mse: 242583648.0000\n","Epoch 488/500\n","14/14 [==============================] - 0s 2ms/step - loss: 242532464.0000 - mse: 242532464.0000\n","Epoch 489/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242630832.0000 - mse: 242630832.0000\n","Epoch 490/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242513600.0000 - mse: 242513600.0000\n","Epoch 491/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242550144.0000 - mse: 242550144.0000\n","Epoch 492/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242656816.0000 - mse: 242656816.0000\n","Epoch 493/500\n","14/14 [==============================] - 0s 2ms/step - loss: 242531248.0000 - mse: 242531248.0000\n","Epoch 494/500\n","14/14 [==============================] - 0s 2ms/step - loss: 242365952.0000 - mse: 242365952.0000\n","Epoch 495/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242539872.0000 - mse: 242539872.0000\n","Epoch 496/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242337040.0000 - mse: 242337040.0000\n","Epoch 497/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242417968.0000 - mse: 242417968.0000\n","Epoch 498/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242221840.0000 - mse: 242221840.0000\n","Epoch 499/500\n","14/14 [==============================] - 0s 2ms/step - loss: 242248848.0000 - mse: 242248848.0000\n","Epoch 500/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242458080.0000 - mse: 242458080.0000\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["<tensorflow.python.keras.callbacks.History at 0x7f7eda475a90>"]},"metadata":{"tags":[]},"execution_count":225}]},{"cell_type":"code","metadata":{"id":"ldkjzJBNf8Ck","executionInfo":{"status":"ok","timestamp":1601545538444,"user_tz":-330,"elapsed":16222,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"735fd980-03a0-46c3-d374-cd2076ebc22c","colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":["model.fit(x_train,y_train,epochs=500)"],"execution_count":226,"outputs":[{"output_type":"stream","text":["Epoch 1/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242104032.0000 - mse: 242104032.0000\n","Epoch 2/500\n","14/14 [==============================] - 0s 2ms/step - loss: 242526608.0000 - mse: 242526608.0000\n","Epoch 3/500\n","14/14 [==============================] - 0s 2ms/step - loss: 242097424.0000 - mse: 242097424.0000\n","Epoch 4/500\n","14/14 [==============================] - 0s 2ms/step - loss: 242077072.0000 - mse: 242077072.0000\n","Epoch 5/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242159328.0000 - mse: 242159328.0000\n","Epoch 6/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242036752.0000 - mse: 242036752.0000\n","Epoch 7/500\n","14/14 [==============================] - 0s 1ms/step - loss: 242204064.0000 - mse: 242204064.0000\n","Epoch 8/500\n","14/14 [==============================] - 0s 2ms/step - loss: 242150160.0000 - mse: 242150160.0000\n","Epoch 9/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241969520.0000 - mse: 241969520.0000\n","Epoch 10/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241927152.0000 - mse: 241927152.0000\n","Epoch 11/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241908768.0000 - mse: 241908768.0000\n","Epoch 12/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241902496.0000 - mse: 241902496.0000\n","Epoch 13/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241862336.0000 - mse: 241862336.0000\n","Epoch 14/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241849184.0000 - mse: 241849184.0000\n","Epoch 15/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241772960.0000 - mse: 241772960.0000\n","Epoch 16/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241881952.0000 - mse: 241881952.0000\n","Epoch 17/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241704160.0000 - mse: 241704160.0000\n","Epoch 18/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241710880.0000 - mse: 241710880.0000\n","Epoch 19/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241693104.0000 - mse: 241693104.0000\n","Epoch 20/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241671296.0000 - mse: 241671296.0000\n","Epoch 21/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241656448.0000 - mse: 241656448.0000\n","Epoch 22/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241612944.0000 - mse: 241612944.0000\n","Epoch 23/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241541776.0000 - mse: 241541776.0000\n","Epoch 24/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241596832.0000 - mse: 241596832.0000\n","Epoch 25/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241628176.0000 - mse: 241628176.0000\n","Epoch 26/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241449520.0000 - mse: 241449520.0000\n","Epoch 27/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241489744.0000 - mse: 241489744.0000\n","Epoch 28/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241458672.0000 - mse: 241458672.0000\n","Epoch 29/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241390400.0000 - mse: 241390400.0000\n","Epoch 30/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241450400.0000 - mse: 241450400.0000\n","Epoch 31/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241368224.0000 - mse: 241368224.0000\n","Epoch 32/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241299040.0000 - mse: 241299040.0000\n","Epoch 33/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241263696.0000 - mse: 241263696.0000\n","Epoch 34/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241356624.0000 - mse: 241356624.0000\n","Epoch 35/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241196496.0000 - mse: 241196496.0000\n","Epoch 36/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241204064.0000 - mse: 241204064.0000\n","Epoch 37/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241192336.0000 - mse: 241192336.0000\n","Epoch 38/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241189552.0000 - mse: 241189552.0000\n","Epoch 39/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241433200.0000 - mse: 241433216.0000\n","Epoch 40/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241069984.0000 - mse: 241069984.0000\n","Epoch 41/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241082224.0000 - mse: 241082224.0000\n","Epoch 42/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241052640.0000 - mse: 241052640.0000\n","Epoch 43/500\n","14/14 [==============================] - 0s 1ms/step - loss: 241058256.0000 - mse: 241058256.0000\n","Epoch 44/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241018096.0000 - mse: 241018096.0000\n","Epoch 45/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241038752.0000 - mse: 241038752.0000\n","Epoch 46/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240956608.0000 - mse: 240956608.0000\n","Epoch 47/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240907024.0000 - mse: 240907024.0000\n","Epoch 48/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240900944.0000 - mse: 240900944.0000\n","Epoch 49/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240841696.0000 - mse: 240841696.0000\n","Epoch 50/500\n","14/14 [==============================] - 0s 2ms/step - loss: 241107872.0000 - mse: 241107872.0000\n","Epoch 51/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240828160.0000 - mse: 240828160.0000\n","Epoch 52/500\n","14/14 [==============================] - 0s 1ms/step - loss: 240770496.0000 - mse: 240770496.0000\n","Epoch 53/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240777008.0000 - mse: 240777008.0000\n","Epoch 54/500\n","14/14 [==============================] - 0s 1ms/step - loss: 240785520.0000 - mse: 240785520.0000\n","Epoch 55/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240712336.0000 - mse: 240712336.0000\n","Epoch 56/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240738672.0000 - mse: 240738672.0000\n","Epoch 57/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240693360.0000 - mse: 240693360.0000\n","Epoch 58/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240646112.0000 - mse: 240646112.0000\n","Epoch 59/500\n","14/14 [==============================] - 0s 1ms/step - loss: 240592176.0000 - mse: 240592176.0000\n","Epoch 60/500\n","14/14 [==============================] - 0s 1ms/step - loss: 240770032.0000 - mse: 240770032.0000\n","Epoch 61/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240544416.0000 - mse: 240544416.0000\n","Epoch 62/500\n","14/14 [==============================] - 0s 1ms/step - loss: 240660240.0000 - mse: 240660240.0000\n","Epoch 63/500\n","14/14 [==============================] - 0s 1ms/step - loss: 240635040.0000 - mse: 240635040.0000\n","Epoch 64/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240506736.0000 - mse: 240506736.0000\n","Epoch 65/500\n","14/14 [==============================] - 0s 1ms/step - loss: 240443248.0000 - mse: 240443248.0000\n","Epoch 66/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240442832.0000 - mse: 240442832.0000\n","Epoch 67/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240720384.0000 - mse: 240720384.0000\n","Epoch 68/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240552768.0000 - mse: 240552768.0000\n","Epoch 69/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240470304.0000 - mse: 240470304.0000\n","Epoch 70/500\n","14/14 [==============================] - 0s 1ms/step - loss: 240323232.0000 - mse: 240323232.0000\n","Epoch 71/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240288464.0000 - mse: 240288464.0000\n","Epoch 72/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240346192.0000 - mse: 240346192.0000\n","Epoch 73/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240356576.0000 - mse: 240356576.0000\n","Epoch 74/500\n","14/14 [==============================] - 0s 1ms/step - loss: 240209616.0000 - mse: 240209616.0000\n","Epoch 75/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240165392.0000 - mse: 240165392.0000\n","Epoch 76/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240212624.0000 - mse: 240212624.0000\n","Epoch 77/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240171632.0000 - mse: 240171632.0000\n","Epoch 78/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240075152.0000 - mse: 240075152.0000\n","Epoch 79/500\n","14/14 [==============================] - 0s 1ms/step - loss: 240106592.0000 - mse: 240106592.0000\n","Epoch 80/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240133952.0000 - mse: 240133952.0000\n","Epoch 81/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240059808.0000 - mse: 240059808.0000\n","Epoch 82/500\n","14/14 [==============================] - 0s 1ms/step - loss: 240016832.0000 - mse: 240016832.0000\n","Epoch 83/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240089696.0000 - mse: 240089696.0000\n","Epoch 84/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240043280.0000 - mse: 240043280.0000\n","Epoch 85/500\n","14/14 [==============================] - 0s 2ms/step - loss: 240004016.0000 - mse: 240004016.0000\n","Epoch 86/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239898768.0000 - mse: 239898768.0000\n","Epoch 87/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239989936.0000 - mse: 239989936.0000\n","Epoch 88/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239919776.0000 - mse: 239919776.0000\n","Epoch 89/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239909760.0000 - mse: 239909760.0000\n","Epoch 90/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239891728.0000 - mse: 239891728.0000\n","Epoch 91/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239815072.0000 - mse: 239815072.0000\n","Epoch 92/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239775168.0000 - mse: 239775168.0000\n","Epoch 93/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239853248.0000 - mse: 239853248.0000\n","Epoch 94/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239697776.0000 - mse: 239697776.0000\n","Epoch 95/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239824704.0000 - mse: 239824704.0000\n","Epoch 96/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239777280.0000 - mse: 239777280.0000\n","Epoch 97/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239642848.0000 - mse: 239642848.0000\n","Epoch 98/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239622448.0000 - mse: 239622448.0000\n","Epoch 99/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239698368.0000 - mse: 239698368.0000\n","Epoch 100/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239643728.0000 - mse: 239643728.0000\n","Epoch 101/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239635536.0000 - mse: 239635536.0000\n","Epoch 102/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239810704.0000 - mse: 239810704.0000\n","Epoch 103/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239466736.0000 - mse: 239466736.0000\n","Epoch 104/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239506128.0000 - mse: 239506128.0000\n","Epoch 105/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239487040.0000 - mse: 239487040.0000\n","Epoch 106/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239604720.0000 - mse: 239604720.0000\n","Epoch 107/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239396928.0000 - mse: 239396928.0000\n","Epoch 108/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239429200.0000 - mse: 239429200.0000\n","Epoch 109/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239415328.0000 - mse: 239415328.0000\n","Epoch 110/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239500192.0000 - mse: 239500192.0000\n","Epoch 111/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239537744.0000 - mse: 239537744.0000\n","Epoch 112/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239271952.0000 - mse: 239271952.0000\n","Epoch 113/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239282320.0000 - mse: 239282320.0000\n","Epoch 114/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239341792.0000 - mse: 239341792.0000\n","Epoch 115/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239226432.0000 - mse: 239226432.0000\n","Epoch 116/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239572224.0000 - mse: 239572224.0000\n","Epoch 117/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239276608.0000 - mse: 239276608.0000\n","Epoch 118/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239152160.0000 - mse: 239152160.0000\n","Epoch 119/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239137664.0000 - mse: 239137664.0000\n","Epoch 120/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239233440.0000 - mse: 239233440.0000\n","Epoch 121/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239100400.0000 - mse: 239100400.0000\n","Epoch 122/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239088944.0000 - mse: 239088944.0000\n","Epoch 123/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239095520.0000 - mse: 239095520.0000\n","Epoch 124/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239065440.0000 - mse: 239065440.0000\n","Epoch 125/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239052064.0000 - mse: 239052064.0000\n","Epoch 126/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239042976.0000 - mse: 239042976.0000\n","Epoch 127/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238969696.0000 - mse: 238969696.0000\n","Epoch 128/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239052064.0000 - mse: 239052064.0000\n","Epoch 129/500\n","14/14 [==============================] - 0s 1ms/step - loss: 238871456.0000 - mse: 238871456.0000\n","Epoch 130/500\n","14/14 [==============================] - 0s 1ms/step - loss: 238942976.0000 - mse: 238942976.0000\n","Epoch 131/500\n","14/14 [==============================] - 0s 1ms/step - loss: 239179696.0000 - mse: 239179696.0000\n","Epoch 132/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238808480.0000 - mse: 238808480.0000\n","Epoch 133/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239281056.0000 - mse: 239281056.0000\n","Epoch 134/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238785632.0000 - mse: 238785632.0000\n","Epoch 135/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238787712.0000 - mse: 238787712.0000\n","Epoch 136/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238759312.0000 - mse: 238759312.0000\n","Epoch 137/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238721328.0000 - mse: 238721328.0000\n","Epoch 138/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238700672.0000 - mse: 238700672.0000\n","Epoch 139/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239019280.0000 - mse: 239019280.0000\n","Epoch 140/500\n","14/14 [==============================] - 0s 2ms/step - loss: 239211936.0000 - mse: 239211936.0000\n","Epoch 141/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238611840.0000 - mse: 238611840.0000\n","Epoch 142/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238722192.0000 - mse: 238722192.0000\n","Epoch 143/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238658544.0000 - mse: 238658544.0000\n","Epoch 144/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238583744.0000 - mse: 238583744.0000\n","Epoch 145/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238658656.0000 - mse: 238658656.0000\n","Epoch 146/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238607952.0000 - mse: 238607952.0000\n","Epoch 147/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238481184.0000 - mse: 238481184.0000\n","Epoch 148/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238515904.0000 - mse: 238515904.0000\n","Epoch 149/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238570752.0000 - mse: 238570752.0000\n","Epoch 150/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238460032.0000 - mse: 238460032.0000\n","Epoch 151/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238443776.0000 - mse: 238443776.0000\n","Epoch 152/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238417248.0000 - mse: 238417248.0000\n","Epoch 153/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238402912.0000 - mse: 238402912.0000\n","Epoch 154/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238352032.0000 - mse: 238352032.0000\n","Epoch 155/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238370352.0000 - mse: 238370352.0000\n","Epoch 156/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238307472.0000 - mse: 238307472.0000\n","Epoch 157/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238344256.0000 - mse: 238344256.0000\n","Epoch 158/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238313792.0000 - mse: 238313792.0000\n","Epoch 159/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238374512.0000 - mse: 238374512.0000\n","Epoch 160/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238282960.0000 - mse: 238282960.0000\n","Epoch 161/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238286448.0000 - mse: 238286448.0000\n","Epoch 162/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238284256.0000 - mse: 238284256.0000\n","Epoch 163/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238275664.0000 - mse: 238275664.0000\n","Epoch 164/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238134848.0000 - mse: 238134848.0000\n","Epoch 165/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238114624.0000 - mse: 238114624.0000\n","Epoch 166/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238124064.0000 - mse: 238124064.0000\n","Epoch 167/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238096512.0000 - mse: 238096512.0000\n","Epoch 168/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238050032.0000 - mse: 238050032.0000\n","Epoch 169/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238122384.0000 - mse: 238122384.0000\n","Epoch 170/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238027248.0000 - mse: 238027248.0000\n","Epoch 171/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238186464.0000 - mse: 238186464.0000\n","Epoch 172/500\n","14/14 [==============================] - 0s 2ms/step - loss: 238025328.0000 - mse: 238025328.0000\n","Epoch 173/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237979456.0000 - mse: 237979456.0000\n","Epoch 174/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237916480.0000 - mse: 237916480.0000\n","Epoch 175/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237939248.0000 - mse: 237939248.0000\n","Epoch 176/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237886064.0000 - mse: 237886064.0000\n","Epoch 177/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237891520.0000 - mse: 237891520.0000\n","Epoch 178/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237965888.0000 - mse: 237965888.0000\n","Epoch 179/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237813616.0000 - mse: 237813616.0000\n","Epoch 180/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237826304.0000 - mse: 237826304.0000\n","Epoch 181/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237756176.0000 - mse: 237756176.0000\n","Epoch 182/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237807984.0000 - mse: 237807984.0000\n","Epoch 183/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237733008.0000 - mse: 237733008.0000\n","Epoch 184/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237739824.0000 - mse: 237739824.0000\n","Epoch 185/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237709808.0000 - mse: 237709808.0000\n","Epoch 186/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237679008.0000 - mse: 237679008.0000\n","Epoch 187/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237843216.0000 - mse: 237843216.0000\n","Epoch 188/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237670976.0000 - mse: 237670976.0000\n","Epoch 189/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237642192.0000 - mse: 237642192.0000\n","Epoch 190/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237594160.0000 - mse: 237594160.0000\n","Epoch 191/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237639232.0000 - mse: 237639232.0000\n","Epoch 192/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237566192.0000 - mse: 237566192.0000\n","Epoch 193/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237584928.0000 - mse: 237584928.0000\n","Epoch 194/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237593344.0000 - mse: 237593344.0000\n","Epoch 195/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237502240.0000 - mse: 237502240.0000\n","Epoch 196/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237490352.0000 - mse: 237490352.0000\n","Epoch 197/500\n","14/14 [==============================] - 0s 3ms/step - loss: 237540272.0000 - mse: 237540272.0000\n","Epoch 198/500\n","14/14 [==============================] - 0s 3ms/step - loss: 237490960.0000 - mse: 237490960.0000\n","Epoch 199/500\n","14/14 [==============================] - 0s 3ms/step - loss: 237504112.0000 - mse: 237504112.0000\n","Epoch 200/500\n","14/14 [==============================] - 0s 3ms/step - loss: 237419040.0000 - mse: 237419040.0000\n","Epoch 201/500\n","14/14 [==============================] - 0s 3ms/step - loss: 237424544.0000 - mse: 237424544.0000\n","Epoch 202/500\n","14/14 [==============================] - 0s 3ms/step - loss: 237428992.0000 - mse: 237428992.0000\n","Epoch 203/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237484688.0000 - mse: 237484688.0000\n","Epoch 204/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237330864.0000 - mse: 237330864.0000\n","Epoch 205/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237400992.0000 - mse: 237400992.0000\n","Epoch 206/500\n","14/14 [==============================] - 0s 3ms/step - loss: 237287200.0000 - mse: 237287200.0000\n","Epoch 207/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237259536.0000 - mse: 237259536.0000\n","Epoch 208/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237348304.0000 - mse: 237348304.0000\n","Epoch 209/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237202256.0000 - mse: 237202256.0000\n","Epoch 210/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237255984.0000 - mse: 237255984.0000\n","Epoch 211/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237315024.0000 - mse: 237315024.0000\n","Epoch 212/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237301728.0000 - mse: 237301728.0000\n","Epoch 213/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237243328.0000 - mse: 237243328.0000\n","Epoch 214/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237118528.0000 - mse: 237118528.0000\n","Epoch 215/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237122544.0000 - mse: 237122544.0000\n","Epoch 216/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237087568.0000 - mse: 237087568.0000\n","Epoch 217/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237070752.0000 - mse: 237070752.0000\n","Epoch 218/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237131600.0000 - mse: 237131600.0000\n","Epoch 219/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237069600.0000 - mse: 237069600.0000\n","Epoch 220/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237210096.0000 - mse: 237210096.0000\n","Epoch 221/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237199024.0000 - mse: 237199024.0000\n","Epoch 222/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237645856.0000 - mse: 237645856.0000\n","Epoch 223/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236993616.0000 - mse: 236993616.0000\n","Epoch 224/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237006480.0000 - mse: 237006480.0000\n","Epoch 225/500\n","14/14 [==============================] - 0s 2ms/step - loss: 237005920.0000 - mse: 237005920.0000\n","Epoch 226/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236963168.0000 - mse: 236963168.0000\n","Epoch 227/500\n","14/14 [==============================] - 0s 3ms/step - loss: 236973152.0000 - mse: 236973152.0000\n","Epoch 228/500\n","14/14 [==============================] - 0s 3ms/step - loss: 236857952.0000 - mse: 236857952.0000\n","Epoch 229/500\n","14/14 [==============================] - 0s 3ms/step - loss: 237001040.0000 - mse: 237001040.0000\n","Epoch 230/500\n","14/14 [==============================] - 0s 4ms/step - loss: 236813056.0000 - mse: 236813056.0000\n","Epoch 231/500\n","14/14 [==============================] - 0s 3ms/step - loss: 236829840.0000 - mse: 236829840.0000\n","Epoch 232/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236958432.0000 - mse: 236958432.0000\n","Epoch 233/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236832864.0000 - mse: 236832864.0000\n","Epoch 234/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236743648.0000 - mse: 236743648.0000\n","Epoch 235/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236893008.0000 - mse: 236893008.0000\n","Epoch 236/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236724416.0000 - mse: 236724416.0000\n","Epoch 237/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236893088.0000 - mse: 236893088.0000\n","Epoch 238/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236763984.0000 - mse: 236763984.0000\n","Epoch 239/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236796912.0000 - mse: 236796912.0000\n","Epoch 240/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236774064.0000 - mse: 236774064.0000\n","Epoch 241/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236649344.0000 - mse: 236649344.0000\n","Epoch 242/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236640720.0000 - mse: 236640720.0000\n","Epoch 243/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236647664.0000 - mse: 236647664.0000\n","Epoch 244/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236631072.0000 - mse: 236631072.0000\n","Epoch 245/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236704288.0000 - mse: 236704288.0000\n","Epoch 246/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236570912.0000 - mse: 236570912.0000\n","Epoch 247/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236603296.0000 - mse: 236603296.0000\n","Epoch 248/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236524720.0000 - mse: 236524720.0000\n","Epoch 249/500\n","14/14 [==============================] - 0s 3ms/step - loss: 236588736.0000 - mse: 236588736.0000\n","Epoch 250/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236589072.0000 - mse: 236589072.0000\n","Epoch 251/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236478432.0000 - mse: 236478432.0000\n","Epoch 252/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236428144.0000 - mse: 236428144.0000\n","Epoch 253/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236466688.0000 - mse: 236466688.0000\n","Epoch 254/500\n","14/14 [==============================] - 0s 3ms/step - loss: 236425424.0000 - mse: 236425424.0000\n","Epoch 255/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236479776.0000 - mse: 236479776.0000\n","Epoch 256/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236443888.0000 - mse: 236443888.0000\n","Epoch 257/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236338544.0000 - mse: 236338544.0000\n","Epoch 258/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236402480.0000 - mse: 236402480.0000\n","Epoch 259/500\n","14/14 [==============================] - 0s 3ms/step - loss: 236319616.0000 - mse: 236319616.0000\n","Epoch 260/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236422704.0000 - mse: 236422704.0000\n","Epoch 261/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236431024.0000 - mse: 236431024.0000\n","Epoch 262/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236254944.0000 - mse: 236254944.0000\n","Epoch 263/500\n","14/14 [==============================] - 0s 3ms/step - loss: 236325808.0000 - mse: 236325808.0000\n","Epoch 264/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236228752.0000 - mse: 236228752.0000\n","Epoch 265/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236222752.0000 - mse: 236222752.0000\n","Epoch 266/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236195040.0000 - mse: 236195040.0000\n","Epoch 267/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236195856.0000 - mse: 236195856.0000\n","Epoch 268/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236181376.0000 - mse: 236181376.0000\n","Epoch 269/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236107648.0000 - mse: 236107648.0000\n","Epoch 270/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236134832.0000 - mse: 236134832.0000\n","Epoch 271/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236103488.0000 - mse: 236103488.0000\n","Epoch 272/500\n","14/14 [==============================] - 0s 3ms/step - loss: 236289904.0000 - mse: 236289904.0000\n","Epoch 273/500\n","14/14 [==============================] - 0s 3ms/step - loss: 236064560.0000 - mse: 236064560.0000\n","Epoch 274/500\n","14/14 [==============================] - 0s 3ms/step - loss: 236059408.0000 - mse: 236059408.0000\n","Epoch 275/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236082448.0000 - mse: 236082448.0000\n","Epoch 276/500\n","14/14 [==============================] - 0s 3ms/step - loss: 236059232.0000 - mse: 236059232.0000\n","Epoch 277/500\n","14/14 [==============================] - 0s 3ms/step - loss: 236057616.0000 - mse: 236057616.0000\n","Epoch 278/500\n","14/14 [==============================] - 0s 3ms/step - loss: 236062144.0000 - mse: 236062144.0000\n","Epoch 279/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236061872.0000 - mse: 236061872.0000\n","Epoch 280/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235965616.0000 - mse: 235965616.0000\n","Epoch 281/500\n","14/14 [==============================] - 0s 3ms/step - loss: 235941984.0000 - mse: 235941984.0000\n","Epoch 282/500\n","14/14 [==============================] - 0s 2ms/step - loss: 236020912.0000 - mse: 236020912.0000\n","Epoch 283/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235910560.0000 - mse: 235910560.0000\n","Epoch 284/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235909664.0000 - mse: 235909664.0000\n","Epoch 285/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235970896.0000 - mse: 235970896.0000\n","Epoch 286/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235875888.0000 - mse: 235875888.0000\n","Epoch 287/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235896400.0000 - mse: 235896400.0000\n","Epoch 288/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235840016.0000 - mse: 235840016.0000\n","Epoch 289/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235885152.0000 - mse: 235885152.0000\n","Epoch 290/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235786784.0000 - mse: 235786784.0000\n","Epoch 291/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235791840.0000 - mse: 235791840.0000\n","Epoch 292/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235811216.0000 - mse: 235811216.0000\n","Epoch 293/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235780208.0000 - mse: 235780208.0000\n","Epoch 294/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235774928.0000 - mse: 235774928.0000\n","Epoch 295/500\n","14/14 [==============================] - 0s 1ms/step - loss: 235725552.0000 - mse: 235725552.0000\n","Epoch 296/500\n","14/14 [==============================] - 0s 1ms/step - loss: 235677872.0000 - mse: 235677872.0000\n","Epoch 297/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235681136.0000 - mse: 235681136.0000\n","Epoch 298/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235629520.0000 - mse: 235629520.0000\n","Epoch 299/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235647856.0000 - mse: 235647856.0000\n","Epoch 300/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235624080.0000 - mse: 235624080.0000\n","Epoch 301/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235689200.0000 - mse: 235689200.0000\n","Epoch 302/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235664160.0000 - mse: 235664160.0000\n","Epoch 303/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235870992.0000 - mse: 235870992.0000\n","Epoch 304/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235553936.0000 - mse: 235553936.0000\n","Epoch 305/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235702832.0000 - mse: 235702832.0000\n","Epoch 306/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235487216.0000 - mse: 235487216.0000\n","Epoch 307/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235541024.0000 - mse: 235541024.0000\n","Epoch 308/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235648736.0000 - mse: 235648736.0000\n","Epoch 309/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235582192.0000 - mse: 235582192.0000\n","Epoch 310/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235619024.0000 - mse: 235619024.0000\n","Epoch 311/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235460048.0000 - mse: 235460048.0000\n","Epoch 312/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235543040.0000 - mse: 235543040.0000\n","Epoch 313/500\n","14/14 [==============================] - 0s 3ms/step - loss: 235481840.0000 - mse: 235481840.0000\n","Epoch 314/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235504688.0000 - mse: 235504688.0000\n","Epoch 315/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235442848.0000 - mse: 235442848.0000\n","Epoch 316/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235402160.0000 - mse: 235402160.0000\n","Epoch 317/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235449968.0000 - mse: 235449968.0000\n","Epoch 318/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235429088.0000 - mse: 235429088.0000\n","Epoch 319/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235407264.0000 - mse: 235407264.0000\n","Epoch 320/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235378512.0000 - mse: 235378512.0000\n","Epoch 321/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235426960.0000 - mse: 235426960.0000\n","Epoch 322/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235400992.0000 - mse: 235400992.0000\n","Epoch 323/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235286208.0000 - mse: 235286208.0000\n","Epoch 324/500\n","14/14 [==============================] - 0s 3ms/step - loss: 235260160.0000 - mse: 235260160.0000\n","Epoch 325/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235324560.0000 - mse: 235324560.0000\n","Epoch 326/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235285120.0000 - mse: 235285120.0000\n","Epoch 327/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235451312.0000 - mse: 235451312.0000\n","Epoch 328/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235181792.0000 - mse: 235181792.0000\n","Epoch 329/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235375664.0000 - mse: 235375664.0000\n","Epoch 330/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235218768.0000 - mse: 235218768.0000\n","Epoch 331/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235149280.0000 - mse: 235149280.0000\n","Epoch 332/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235189440.0000 - mse: 235189440.0000\n","Epoch 333/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235142080.0000 - mse: 235142080.0000\n","Epoch 334/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235168640.0000 - mse: 235168640.0000\n","Epoch 335/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235187264.0000 - mse: 235187264.0000\n","Epoch 336/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235122880.0000 - mse: 235122880.0000\n","Epoch 337/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235147328.0000 - mse: 235147328.0000\n","Epoch 338/500\n","14/14 [==============================] - 0s 1ms/step - loss: 235086160.0000 - mse: 235086160.0000\n","Epoch 339/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235100048.0000 - mse: 235100048.0000\n","Epoch 340/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235179904.0000 - mse: 235179904.0000\n","Epoch 341/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235014576.0000 - mse: 235014576.0000\n","Epoch 342/500\n","14/14 [==============================] - 0s 1ms/step - loss: 235075168.0000 - mse: 235075168.0000\n","Epoch 343/500\n","14/14 [==============================] - 0s 1ms/step - loss: 235003392.0000 - mse: 235003392.0000\n","Epoch 344/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234941168.0000 - mse: 234941168.0000\n","Epoch 345/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235017984.0000 - mse: 235017984.0000\n","Epoch 346/500\n","14/14 [==============================] - 0s 1ms/step - loss: 235045200.0000 - mse: 235045200.0000\n","Epoch 347/500\n","14/14 [==============================] - 0s 1ms/step - loss: 235071248.0000 - mse: 235071248.0000\n","Epoch 348/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234922640.0000 - mse: 234922640.0000\n","Epoch 349/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234940224.0000 - mse: 234940224.0000\n","Epoch 350/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234933824.0000 - mse: 234933824.0000\n","Epoch 351/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234895104.0000 - mse: 234895104.0000\n","Epoch 352/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234927008.0000 - mse: 234927008.0000\n","Epoch 353/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234857120.0000 - mse: 234857120.0000\n","Epoch 354/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234849056.0000 - mse: 234849056.0000\n","Epoch 355/500\n","14/14 [==============================] - 0s 2ms/step - loss: 235016656.0000 - mse: 235016656.0000\n","Epoch 356/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234867232.0000 - mse: 234867232.0000\n","Epoch 357/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234818592.0000 - mse: 234818592.0000\n","Epoch 358/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234805600.0000 - mse: 234805600.0000\n","Epoch 359/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234877776.0000 - mse: 234877776.0000\n","Epoch 360/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234766272.0000 - mse: 234766272.0000\n","Epoch 361/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234891360.0000 - mse: 234891360.0000\n","Epoch 362/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234833504.0000 - mse: 234833504.0000\n","Epoch 363/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234780656.0000 - mse: 234780656.0000\n","Epoch 364/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234957104.0000 - mse: 234957104.0000\n","Epoch 365/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234717952.0000 - mse: 234717952.0000\n","Epoch 366/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234750528.0000 - mse: 234750528.0000\n","Epoch 367/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234625392.0000 - mse: 234625392.0000\n","Epoch 368/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234722000.0000 - mse: 234722000.0000\n","Epoch 369/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234882352.0000 - mse: 234882352.0000\n","Epoch 370/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234663040.0000 - mse: 234663040.0000\n","Epoch 371/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234643856.0000 - mse: 234643856.0000\n","Epoch 372/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234598192.0000 - mse: 234598192.0000\n","Epoch 373/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234610256.0000 - mse: 234610256.0000\n","Epoch 374/500\n","14/14 [==============================] - 0s 3ms/step - loss: 234530448.0000 - mse: 234530448.0000\n","Epoch 375/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234680064.0000 - mse: 234680064.0000\n","Epoch 376/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234630080.0000 - mse: 234630080.0000\n","Epoch 377/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234507024.0000 - mse: 234507024.0000\n","Epoch 378/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234556592.0000 - mse: 234556592.0000\n","Epoch 379/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234516816.0000 - mse: 234516816.0000\n","Epoch 380/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234485840.0000 - mse: 234485840.0000\n","Epoch 381/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234516176.0000 - mse: 234516176.0000\n","Epoch 382/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234493376.0000 - mse: 234493376.0000\n","Epoch 383/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234456944.0000 - mse: 234456944.0000\n","Epoch 384/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234470224.0000 - mse: 234470224.0000\n","Epoch 385/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234435296.0000 - mse: 234435296.0000\n","Epoch 386/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234830432.0000 - mse: 234830432.0000\n","Epoch 387/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234827952.0000 - mse: 234827952.0000\n","Epoch 388/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234426512.0000 - mse: 234426496.0000\n","Epoch 389/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234370672.0000 - mse: 234370672.0000\n","Epoch 390/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234445056.0000 - mse: 234445056.0000\n","Epoch 391/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234356768.0000 - mse: 234356768.0000\n","Epoch 392/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234645856.0000 - mse: 234645856.0000\n","Epoch 393/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234423920.0000 - mse: 234423920.0000\n","Epoch 394/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234312032.0000 - mse: 234312032.0000\n","Epoch 395/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234320624.0000 - mse: 234320624.0000\n","Epoch 396/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234307376.0000 - mse: 234307376.0000\n","Epoch 397/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234307088.0000 - mse: 234307088.0000\n","Epoch 398/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234251632.0000 - mse: 234251632.0000\n","Epoch 399/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234413728.0000 - mse: 234413728.0000\n","Epoch 400/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234225792.0000 - mse: 234225792.0000\n","Epoch 401/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234305552.0000 - mse: 234305552.0000\n","Epoch 402/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234228224.0000 - mse: 234228224.0000\n","Epoch 403/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234294368.0000 - mse: 234294368.0000\n","Epoch 404/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234162896.0000 - mse: 234162896.0000\n","Epoch 405/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234304160.0000 - mse: 234304160.0000\n","Epoch 406/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234273504.0000 - mse: 234273504.0000\n","Epoch 407/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234182128.0000 - mse: 234182128.0000\n","Epoch 408/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234172224.0000 - mse: 234172224.0000\n","Epoch 409/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234129648.0000 - mse: 234129648.0000\n","Epoch 410/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234214320.0000 - mse: 234214320.0000\n","Epoch 411/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234137824.0000 - mse: 234137824.0000\n","Epoch 412/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234064000.0000 - mse: 234064000.0000\n","Epoch 413/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234193312.0000 - mse: 234193312.0000\n","Epoch 414/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234145328.0000 - mse: 234145328.0000\n","Epoch 415/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234070224.0000 - mse: 234070224.0000\n","Epoch 416/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234023312.0000 - mse: 234023312.0000\n","Epoch 417/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234071120.0000 - mse: 234071120.0000\n","Epoch 418/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234009072.0000 - mse: 234009072.0000\n","Epoch 419/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234069024.0000 - mse: 234069024.0000\n","Epoch 420/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233999840.0000 - mse: 233999840.0000\n","Epoch 421/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234047568.0000 - mse: 234047568.0000\n","Epoch 422/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233933344.0000 - mse: 233933344.0000\n","Epoch 423/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233943472.0000 - mse: 233943472.0000\n","Epoch 424/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233992912.0000 - mse: 233992912.0000\n","Epoch 425/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233947024.0000 - mse: 233947024.0000\n","Epoch 426/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234107504.0000 - mse: 234107504.0000\n","Epoch 427/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234098032.0000 - mse: 234098032.0000\n","Epoch 428/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233972688.0000 - mse: 233972688.0000\n","Epoch 429/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233924912.0000 - mse: 233924912.0000\n","Epoch 430/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233947632.0000 - mse: 233947632.0000\n","Epoch 431/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233908048.0000 - mse: 233908048.0000\n","Epoch 432/500\n","14/14 [==============================] - 0s 1ms/step - loss: 234145824.0000 - mse: 234145824.0000\n","Epoch 433/500\n","14/14 [==============================] - 0s 2ms/step - loss: 234007488.0000 - mse: 234007488.0000\n","Epoch 434/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233821280.0000 - mse: 233821280.0000\n","Epoch 435/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233825248.0000 - mse: 233825248.0000\n","Epoch 436/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233964320.0000 - mse: 233964320.0000\n","Epoch 437/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233846000.0000 - mse: 233846000.0000\n","Epoch 438/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233796336.0000 - mse: 233796336.0000\n","Epoch 439/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233902048.0000 - mse: 233902048.0000\n","Epoch 440/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233731424.0000 - mse: 233731424.0000\n","Epoch 441/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233923280.0000 - mse: 233923280.0000\n","Epoch 442/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233728128.0000 - mse: 233728128.0000\n","Epoch 443/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233722928.0000 - mse: 233722928.0000\n","Epoch 444/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233850208.0000 - mse: 233850208.0000\n","Epoch 445/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233685440.0000 - mse: 233685440.0000\n","Epoch 446/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233735312.0000 - mse: 233735312.0000\n","Epoch 447/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233701488.0000 - mse: 233701488.0000\n","Epoch 448/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233661216.0000 - mse: 233661216.0000\n","Epoch 449/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233654208.0000 - mse: 233654208.0000\n","Epoch 450/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233703392.0000 - mse: 233703392.0000\n","Epoch 451/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233629392.0000 - mse: 233629392.0000\n","Epoch 452/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233668272.0000 - mse: 233668272.0000\n","Epoch 453/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233597776.0000 - mse: 233597776.0000\n","Epoch 454/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233619952.0000 - mse: 233619952.0000\n","Epoch 455/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233714000.0000 - mse: 233714000.0000\n","Epoch 456/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233606992.0000 - mse: 233606992.0000\n","Epoch 457/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233705680.0000 - mse: 233705680.0000\n","Epoch 458/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233528592.0000 - mse: 233528592.0000\n","Epoch 459/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233538176.0000 - mse: 233538176.0000\n","Epoch 460/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233597232.0000 - mse: 233597232.0000\n","Epoch 461/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233497936.0000 - mse: 233497936.0000\n","Epoch 462/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233521888.0000 - mse: 233521888.0000\n","Epoch 463/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233520944.0000 - mse: 233520944.0000\n","Epoch 464/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233593120.0000 - mse: 233593120.0000\n","Epoch 465/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233528544.0000 - mse: 233528544.0000\n","Epoch 466/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233528496.0000 - mse: 233528496.0000\n","Epoch 467/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233494992.0000 - mse: 233494992.0000\n","Epoch 468/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233422640.0000 - mse: 233422640.0000\n","Epoch 469/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233472640.0000 - mse: 233472640.0000\n","Epoch 470/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233482960.0000 - mse: 233482960.0000\n","Epoch 471/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233414240.0000 - mse: 233414240.0000\n","Epoch 472/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233439168.0000 - mse: 233439168.0000\n","Epoch 473/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233405168.0000 - mse: 233405168.0000\n","Epoch 474/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233324944.0000 - mse: 233324944.0000\n","Epoch 475/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233413264.0000 - mse: 233413264.0000\n","Epoch 476/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233383856.0000 - mse: 233383856.0000\n","Epoch 477/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233372944.0000 - mse: 233372944.0000\n","Epoch 478/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233356096.0000 - mse: 233356096.0000\n","Epoch 479/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233310896.0000 - mse: 233310896.0000\n","Epoch 480/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233351520.0000 - mse: 233351520.0000\n","Epoch 481/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233307632.0000 - mse: 233307632.0000\n","Epoch 482/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233277984.0000 - mse: 233277984.0000\n","Epoch 483/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233252864.0000 - mse: 233252864.0000\n","Epoch 484/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233281664.0000 - mse: 233281664.0000\n","Epoch 485/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233313056.0000 - mse: 233313056.0000\n","Epoch 486/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233360736.0000 - mse: 233360736.0000\n","Epoch 487/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233247184.0000 - mse: 233247184.0000\n","Epoch 488/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233201648.0000 - mse: 233201648.0000\n","Epoch 489/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233376096.0000 - mse: 233376096.0000\n","Epoch 490/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233186448.0000 - mse: 233186448.0000\n","Epoch 491/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233227024.0000 - mse: 233227024.0000\n","Epoch 492/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233205680.0000 - mse: 233205680.0000\n","Epoch 493/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233165136.0000 - mse: 233165136.0000\n","Epoch 494/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233233904.0000 - mse: 233233904.0000\n","Epoch 495/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233139888.0000 - mse: 233139888.0000\n","Epoch 496/500\n","14/14 [==============================] - 0s 2ms/step - loss: 233252240.0000 - mse: 233252240.0000\n","Epoch 497/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233113856.0000 - mse: 233113856.0000\n","Epoch 498/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233218080.0000 - mse: 233218080.0000\n","Epoch 499/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233155632.0000 - mse: 233155632.0000\n","Epoch 500/500\n","14/14 [==============================] - 0s 1ms/step - loss: 233074384.0000 - mse: 233074384.0000\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["<tensorflow.python.keras.callbacks.History at 0x7f7ed9c14b70>"]},"metadata":{"tags":[]},"execution_count":226}]},{"cell_type":"code","metadata":{"id":"ryqMpz-BZHnj","executionInfo":{"status":"ok","timestamp":1601545206952,"user_tz":-330,"elapsed":856,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"59ba90c3-7175-4e20-ecdb-2d7698da076e","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["np.sqrt(235151616.0000)"],"execution_count":208,"outputs":[{"output_type":"execute_result","data":{"text/plain":["15334.654088045156"]},"metadata":{"tags":[]},"execution_count":208}]},{"cell_type":"code","metadata":{"id":"MDz6LlWA9D_8","executionInfo":{"status":"ok","timestamp":1601545552963,"user_tz":-330,"elapsed":942,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["y_pred=model.predict(x_test)"],"execution_count":227,"outputs":[]},{"cell_type":"code","metadata":{"id":"QvxTdrQh9EAH","executionInfo":{"status":"ok","timestamp":1601545553503,"user_tz":-330,"elapsed":1088,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"71b842cb-fea3-40cf-d895-2720b7259d75","colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":["y_pred"],"execution_count":228,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[ 66328.766],\n","       [ 69030.94 ],\n","       [111446.42 ],\n","       [ 59700.793],\n","       [ 54051.59 ],\n","       [ 59496.188],\n","       [ 55203.457],\n","       [ 54481.414],\n","       [ 98127.766],\n","       [ 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m"],"execution_count":229,"outputs":[]},{"cell_type":"code","metadata":{"id":"cE4wRZEF9EAe","executionInfo":{"status":"ok","timestamp":1601545558028,"user_tz":-330,"elapsed":846,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"8a3e552c-a462-4fd5-a0b7-a5ac79d52fe8","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["np.sqrt(m.mean_squared_error(y_test,y_pred))"],"execution_count":230,"outputs":[{"output_type":"execute_result","data":{"text/plain":["15963.595392704518"]},"metadata":{"tags":[]},"execution_count":230}]},{"cell_type":"code","metadata":{"id":"YARleW0a9EAl","executionInfo":{"status":"ok","timestamp":1601545560047,"user_tz":-330,"elapsed":1054,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"b02d4d96-5bc7-43ee-d1ca-0792bf62c2b9","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["m.mean_absolute_error(y_test,y_pred)"],"execution_count":231,"outputs":[{"output_type":"execute_result","data":{"text/plain":["11575.358966619318"]},"metadata":{"tags":[]},"execution_count":231}]},{"cell_type":"code","metadata":{"id":"_IxI32aRiJob","executionInfo":{"status":"ok","timestamp":1601545603303,"user_tz":-330,"elapsed":846,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}},"outputId":"04e47bfb-ba63-408d-c777-fc14009399a1","colab":{"base_uri":"https://localhost:8080/","height":34}},"source":["m.r2_score(y_test,y_pred)"],"execution_count":232,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.6185514689062159"]},"metadata":{"tags":[]},"execution_count":232}]},{"cell_type":"code","metadata":{"id":"LBSwajKNjoVK","executionInfo":{"status":"ok","timestamp":1601545964971,"user_tz":-330,"elapsed":667,"user":{"displayName":"Kota sai durga kamesh","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjTjqAs_XSPRluT1e_1a161LYmq1xxzr4Q-wY37=s64","userId":"02067056678749702267"}}},"source":["model.save('model.h5')"],"execution_count":233,"outputs":[]},{"cell_type":"code","metadata":{"id":"Bews3kRTlAqt"},"source":[""],"execution_count":null,"outputs":[]}]}